{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9773d233-d855-49dd-a997-3360cdfc61a1",
   "metadata": {},
   "source": [
    "# Evaluating 2015-2018 Model on 2019 data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "2da0a60e-bd55-421d-bbf8-40d28252d364",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn\n",
    "matplotlib.rcParams.update({'font.size': 22})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27e388ab-0662-4ed2-9d8a-0d474e991282",
   "metadata": {},
   "source": [
    "## Overall RMSE\n",
    "The RMSE (to 3 decimal places) is 0.200, so worse than the 0.198 we get when we train and evaluate on subsets of 2015 data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3da35bb1-1537-435e-9870-5a5a41358505",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Query complete after 0.01s: 100%|██████████| 1/1 [00:00<00:00, 556.57query/s] \n",
      "Downloading: 100%|██████████| 1/1 [00:00<00:00,  1.01rows/s]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rmse</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.199848</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       rmse\n",
       "0  0.199848"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%bigquery\n",
    "SELECT  \n",
    "  SQRT(SUM(\n",
    "      (CAST(ontime AS FLOAT64) - predicted_ontime.scores[OFFSET(0)])*\n",
    "      (CAST(ontime AS FLOAT64) - predicted_ontime.scores[OFFSET(0)])\n",
    "      )/COUNT(*)) AS rmse\n",
    "FROM dsongcp.ch10_automl_evaluated"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "160d045f-60d6-4630-b12d-81f3c0dbc8a3",
   "metadata": {},
   "source": [
    "## Confusion matrix\n",
    "\n",
    "Let's find the fraction of true on-time flights at some threshold:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ae14c099-b7d0-41a8-a46f-521172cd678f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Query complete after 0.00s: 100%|██████████| 1/1 [00:00<00:00, 697.19query/s] \n",
      "Downloading: 100%|██████████| 1/1 [00:00<00:00,  1.09rows/s]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>thresh</th>\n",
       "      <th>num_ontime</th>\n",
       "      <th>num_late</th>\n",
       "      <th>num_pred_ontime</th>\n",
       "      <th>num_pred_late</th>\n",
       "      <th>frac_1_as_1</th>\n",
       "      <th>frac_1_as_0</th>\n",
       "      <th>frac_0_as_1</th>\n",
       "      <th>frac_0_as_0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.7</td>\n",
       "      <td>5878979</td>\n",
       "      <td>1389253</td>\n",
       "      <td>5818115</td>\n",
       "      <td>1450117</td>\n",
       "      <td>0.989647</td>\n",
       "      <td>0.246661</td>\n",
       "      <td>4.187945</td>\n",
       "      <td>1.043811</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   thresh  num_ontime  num_late  num_pred_ontime  num_pred_late  frac_1_as_1  \\\n",
       "0     0.7     5878979   1389253          5818115        1450117     0.989647   \n",
       "\n",
       "   frac_1_as_0  frac_0_as_1  frac_0_as_0  \n",
       "0     0.246661     4.187945     1.043811  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%bigquery\n",
    "SELECT \n",
    "  *, \n",
    "  num_pred_ontime / num_ontime AS frac_1_as_1,\n",
    "  num_pred_late   / num_ontime AS frac_1_as_0,\n",
    "  num_pred_ontime / num_late AS frac_0_as_1,\n",
    "  num_pred_late   / num_late AS frac_0_as_0\n",
    "FROM (\n",
    "    SELECT  \n",
    "      0.7 AS thresh,\n",
    "      SUM(IF(CAST(ontime AS FLOAT64) > 0.5, 1, 0)) AS num_ontime,\n",
    "      SUM(IF(CAST(ontime AS FLOAT64) <= 0.5, 1, 0)) AS num_late,\n",
    "      SUM(IF(predicted_ontime.scores[OFFSET(0)] > 0.7, 1, 0)) AS num_pred_ontime,\n",
    "      SUM(IF(predicted_ontime.scores[OFFSET(0)] <= 0.7, 1, 0)) AS num_pred_late,\n",
    "    FROM dsongcp.ch10_automl_evaluated\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "02eb9501-ce98-4e78-bded-687e7095c55e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Query complete after 0.00s: 100%|██████████| 1/1 [00:00<00:00, 704.45query/s] \n",
      "Downloading: 100%|██████████| 3/3 [00:00<00:00,  3.29rows/s]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>thresh</th>\n",
       "      <th>num_1_as_1</th>\n",
       "      <th>num_1_as_0</th>\n",
       "      <th>num_0_as_1</th>\n",
       "      <th>num_0_as_0</th>\n",
       "      <th>frac_1_as_1</th>\n",
       "      <th>frac_1_as_0</th>\n",
       "      <th>frac_0_as_1</th>\n",
       "      <th>frac_0_as_0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.5</td>\n",
       "      <td>5763136</td>\n",
       "      <td>115843</td>\n",
       "      <td>258138</td>\n",
       "      <td>1131115</td>\n",
       "      <td>0.98</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.19</td>\n",
       "      <td>0.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.7</td>\n",
       "      <td>5633570</td>\n",
       "      <td>245409</td>\n",
       "      <td>184545</td>\n",
       "      <td>1204708</td>\n",
       "      <td>0.96</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.8</td>\n",
       "      <td>5498807</td>\n",
       "      <td>380172</td>\n",
       "      <td>146200</td>\n",
       "      <td>1243053</td>\n",
       "      <td>0.94</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.89</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   thresh  num_1_as_1  num_1_as_0  num_0_as_1  num_0_as_0  frac_1_as_1  \\\n",
       "0     0.5     5763136      115843      258138     1131115         0.98   \n",
       "1     0.7     5633570      245409      184545     1204708         0.96   \n",
       "2     0.8     5498807      380172      146200     1243053         0.94   \n",
       "\n",
       "   frac_1_as_0  frac_0_as_1  frac_0_as_0  \n",
       "0         0.02         0.19         0.81  \n",
       "1         0.04         0.13         0.87  \n",
       "2         0.06         0.11         0.89  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%bigquery\n",
    "WITH counts AS (\n",
    "    SELECT\n",
    "      thresh,  \n",
    "      COUNTIF(CAST(ontime AS FLOAT64) > 0.5 AND predicted_ontime.scores[OFFSET(0)] > thresh) AS num_1_as_1,\n",
    "      COUNTIF(CAST(ontime AS FLOAT64) > 0.5 AND predicted_ontime.scores[OFFSET(0)] <= thresh) AS num_1_as_0,\n",
    "      COUNTIF(CAST(ontime AS FLOAT64) <= 0.5 AND predicted_ontime.scores[OFFSET(0)] > thresh) AS num_0_as_1,\n",
    "      COUNTIF(CAST(ontime AS FLOAT64) <= 0.5 AND predicted_ontime.scores[OFFSET(0)] <= thresh) AS num_0_as_0\n",
    "    FROM UNNEST([0.5, 0.7, 0.8]) AS thresh, dsongcp.ch10_automl_evaluated\n",
    "    GROUP BY thresh\n",
    ")\n",
    "\n",
    "SELECT \n",
    "  *, \n",
    "  ROUND(num_1_as_1 / (num_1_as_1 + num_1_as_0), 2) AS frac_1_as_1,\n",
    "  ROUND(num_1_as_0 / (num_1_as_1 + num_1_as_0), 2) AS frac_1_as_0,\n",
    "  ROUND(num_0_as_1 / (num_0_as_1 + num_0_as_0), 2) AS frac_0_as_1,\n",
    "  ROUND(num_0_as_0 / (num_0_as_1 + num_0_as_0), 2) AS frac_0_as_0\n",
    "FROM counts\n",
    "ORDER BY thresh ASC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "86ffd41e-3842-4b8d-a589-4f8a6421ad61",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Query complete after 0.00s: 100%|██████████| 1/1 [00:00<00:00, 479.90query/s] \n",
      "Downloading: 100%|██████████| 100/100 [00:00<00:00, 101.40rows/s]\n"
     ]
    }
   ],
   "source": [
    "%%bigquery df\n",
    "WITH counts AS (\n",
    "    SELECT\n",
    "      thresh,  \n",
    "      COUNTIF(CAST(ontime AS FLOAT64) > 0.5 AND predicted_ontime.scores[OFFSET(0)] > thresh) AS num_1_as_1,\n",
    "      COUNTIF(CAST(ontime AS FLOAT64) > 0.5 AND predicted_ontime.scores[OFFSET(0)] <= thresh) AS num_1_as_0,\n",
    "      COUNTIF(CAST(ontime AS FLOAT64) <= 0.5 AND predicted_ontime.scores[OFFSET(0)] > thresh) AS num_0_as_1,\n",
    "      COUNTIF(CAST(ontime AS FLOAT64) <= 0.5 AND predicted_ontime.scores[OFFSET(0)] <= thresh) AS num_0_as_0\n",
    "    FROM UNNEST(GENERATE_ARRAY(0.0, 1.0, 0.01)) AS thresh, dsongcp.ch10_automl_evaluated\n",
    "    GROUP BY thresh\n",
    ")\n",
    "\n",
    "SELECT \n",
    "  *, \n",
    "  ROUND(num_1_as_1 / (num_1_as_1 + num_1_as_0), 2) AS frac_1_as_1,\n",
    "  ROUND(num_1_as_0 / (num_1_as_1 + num_1_as_0), 2) AS frac_1_as_0,\n",
    "  ROUND(num_0_as_1 / (num_0_as_1 + num_0_as_0), 2) AS frac_0_as_1,\n",
    "  ROUND(num_0_as_0 / (num_0_as_1 + num_0_as_0), 2) AS frac_0_as_0\n",
    "FROM counts\n",
    "ORDER BY thresh ASC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2f644133-89e9-434a-81d4-288553084042",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>thresh</th>\n",
       "      <th>num_1_as_1</th>\n",
       "      <th>num_1_as_0</th>\n",
       "      <th>num_0_as_1</th>\n",
       "      <th>num_0_as_0</th>\n",
       "      <th>frac_1_as_1</th>\n",
       "      <th>frac_1_as_0</th>\n",
       "      <th>frac_0_as_1</th>\n",
       "      <th>frac_0_as_0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.00</td>\n",
       "      <td>5878979</td>\n",
       "      <td>0</td>\n",
       "      <td>1375064</td>\n",
       "      <td>14189</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.01</td>\n",
       "      <td>5878150</td>\n",
       "      <td>829</td>\n",
       "      <td>669299</td>\n",
       "      <td>719954</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.02</td>\n",
       "      <td>5877151</td>\n",
       "      <td>1828</td>\n",
       "      <td>619923</td>\n",
       "      <td>769330</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.03</td>\n",
       "      <td>5876074</td>\n",
       "      <td>2905</td>\n",
       "      <td>588231</td>\n",
       "      <td>801022</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.04</td>\n",
       "      <td>5874898</td>\n",
       "      <td>4081</td>\n",
       "      <td>564113</td>\n",
       "      <td>825140</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.59</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   thresh  num_1_as_1  num_1_as_0  num_0_as_1  num_0_as_0  frac_1_as_1  \\\n",
       "0    0.00     5878979           0     1375064       14189          1.0   \n",
       "1    0.01     5878150         829      669299      719954          1.0   \n",
       "2    0.02     5877151        1828      619923      769330          1.0   \n",
       "3    0.03     5876074        2905      588231      801022          1.0   \n",
       "4    0.04     5874898        4081      564113      825140          1.0   \n",
       "\n",
       "   frac_1_as_0  frac_0_as_1  frac_0_as_0  \n",
       "0          0.0         0.99         0.01  \n",
       "1          0.0         0.48         0.52  \n",
       "2          0.0         0.45         0.55  \n",
       "3          0.0         0.42         0.58  \n",
       "4          0.0         0.41         0.59  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3a58e586-e9b9-4b21-b74f-eb8f6f7aa554",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df.plot(x='thresh', y='frac_1_as_1', label='on-time', ylabel='fraction correct', style='r--');\n",
    "df.plot(x='thresh', y='frac_0_as_0', label='late', ax=ax);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e2947c9-f6d2-4699-ac9b-f432dffc7e0f",
   "metadata": {},
   "source": [
    "## Impact of different variables\n",
    "\n",
    "Let's see how the model behaves with respect to specific feature values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f4c5cac6-06d4-433f-8fdb-d50655e40f76",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Query complete after 0.00s: 100%|██████████| 1/1 [00:00<00:00, 726.66query/s] \n",
      "Downloading: 100%|██████████| 101/101 [00:00<00:00, 108.12rows/s]\n"
     ]
    }
   ],
   "source": [
    "%%bigquery df\n",
    "SELECT\n",
    "  ROUND(predicted_ontime.scores[OFFSET(0)], 2) AS prob_ontime,\n",
    "  AVG(CAST(dep_delay AS FLOAT64)) AS dep_delay,\n",
    "  STDDEV(CAST(dep_delay AS FLOAT64)) AS std_dep_delay,\n",
    "  AVG(CAST(taxi_out AS FLOAT64)) AS taxi_out,\n",
    "  STDDEV(CAST(taxi_out AS FLOAT64)) AS std_taxi_out\n",
    "FROM dsongcp.ch10_automl_evaluated\n",
    "GROUP BY prob_ontime\n",
    "ORDER BY prob_ontime ASC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9370eec3-7adc-4df8-91f4-15873fff62e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x='prob_ontime', y='dep_delay', ylabel='seconds');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c14525f5-7346-47cf-932e-50489669b65b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Query complete after 0.00s: 100%|██████████| 1/1 [00:00<00:00, 891.65query/s] \n",
      "Downloading: 100%|██████████| 1592/1592 [00:01<00:00, 1363.40rows/s]\n"
     ]
    }
   ],
   "source": [
    "%%bigquery df2\n",
    "SELECT\n",
    "  ROUND(CAST(dep_delay AS FLOAT64), 0) AS dep_delay,\n",
    "  AVG(predicted_ontime.scores[OFFSET(0)]) AS prob_ontime,\n",
    "FROM dsongcp.ch10_automl_evaluated\n",
    "GROUP BY dep_delay\n",
    "ORDER BY dep_delay ASC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7c3e18b0-e4bb-4e21-8999-779efd1adb90",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df2.plot(x='dep_delay', y='prob_ontime', xlim=[-10,100]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "640c51a7-057e-4b2b-abbb-ca49d88ba6f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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NHjzY586dm3C9Mx+ZCcCzlx2R7JCkEX3xxRcccMABjR2G1MIxxxxTOvZidS688MKk3GDc1CRy/JvZPHeP11CpVqq0vEREGtW0adMaOwRJQMp02BAREakpJS8REUk7Sl4iIpJ2lLxEkkydoKQ5aujjXslLJIkyMjJKn2Ar0pwUFhZW+nTs+qLkJZJEHTp0YMOGDWp9SbOzdetW2rWr9BGI9ULJSySJOnXqRH5+PitWrGDbtm0UFxcrkUmT5e4UFBSwfv16Nm3aRKdOnaqvlCS6z0skiTIyMujZsyebNm1i06ZN/PDDD8RiGqxFmq5oNEq7du3Ya6+9yMrKarDPVfISSbJIJELnzp3p3LlzY4ci0mTptKGIiKQdJS8REUk7Sl4iIpJ2lLxERCTtKHmJiEjaUfISEZG0o+QlIiJpR8lLRETSjpKXiIikHSUvERFJO0peIiKSdpS8REQk7Sh5iYhI2lHyEhGRtKPkJSIiaUfJS0RE0o6Sl4iIpJ2EkpeZ9TazkWbWs8L8H5nZh2a2zcwWmNlJyQ1TRERkh0RbXr8DngYySmaYWXvgbeDHQBugH/CSme2frCBFRETKSjR5HQ184e7flJl3HrAr8AywN3AdkAlcnZQIRUREKkg0eXUFvqsw7+dADLjW3Ze6+1+Az4GhdY5ORESkEokmrw7A5grzDgf+7e5rysxbBHSvQ1wiIiJxJZq8tgHdSt6Y2X7AbsCMCuVitVi3iIhIjSSaYD4DfmxmfcP3vwEcmFahXG9gVd1CExERqVyiyWsCQWeMT8zsE+BaYB3wakkBM2sHHEJw3UtERCTpEkpe7v4McDtBV/lDgO+BM9x9e5liIwkS3LTkhCgiIlJeRvVFynP3sWb2P0B7d19fSZG3gQHAN5UsExERqbOEkxeAuxcAlSUu3H0ZsKwuQYmIiFRFPQJFRCTtVNnyMrPH67Bud/eL61BfRESkUtWdNhwVZ76HU6tivgNKXiIiknTVJa9fVzJvCHAF8APwHDuGi+oFnEEwssY4YE5SIhQREamgyuTl7k+WfW9mBwMPAw8AN4QdN8ouvwG4B7iU4J4wERGRpEu0w8btwEqCQXgLKi5090KCUeV/CMuKiIgkXaLJ60hgtrt7vALhstlhWRERkaRLNHm1AXavQbndgdaJhyMiIlK9RJPXYmComQ2KVyBcNhT4oi6BiYiIxJNo8nqIoJPHO2Z2q5n1MbNo+OptZrcQDA8VJehxKCIiknQJDQ/l7n8NW1aXA2PDVyxcXJIIDXjE3f+apBhFRETKSXh4KHcfDfySYNT4AoJWVjT8eRpwurtfkbwQRUREyqvtwLz/BP5pZlFg13D2encvTlpkIiIicdQqeZUIk9WaJMUiIiJSIxpVXkRE0k7CLa/wVOFI4DigG9AyTlF39+PqEJuIiEilEkpeZrYL8BYwkJ1HlK8o7igcIiIidZFoy+uPwCBgOfAgwU3LW5MdlIiISFUSTV6nAZuAw9x9dT3EIyIiUq1EO2zsCnyoxCUiIo0p0eT1A1BUH4GIiIjUVKLJ6wXgaDNrVR/BiIiI1ESiyeu/CFpfz5pZTR6NIiIiknSJdth4AFgCnA58bWbzgGXsGJy3LHf3i+sYn4iIyE4STV6j2HH/VjvgmCrKOqDkFUdeQTGbcgvYlFPALm0yGzscEZG0kmjy+nW9RNEM5RUWs3xTHqu3blfyEhFJUKLP83qyvgJpbiLh+CS5Beq8KSKSKA3M20iiYfbKztdTZEREElXrR6KYWSbBUFHdw1krgXnuXpCMwJq6kuSVm6+Wl4hIohJueZlZCzP7I7AW+BB4Nnx9CKwzs/82sxa1WO9+ZnaNmU0ys8VmFjMzN7MzalD3HDP7wMy2mFm2mc01syvNrMrtq229ZIhYkLxyCtTyEhFJVKKjykeBV4HjCUaVXwUsDX/uDXQFbgIONbOTE3yy8hXANYnEE8b0EDAa2A68CxQSPK7lQeA4MxtRWRy1rZcsJS2vHLW8REQSlmgL41LgZ8DXwMnu3t3dj3L3I929O3AS8BVBcvtNguteCPwJOBPYG5heXQUzG06QgFYD/d39F+5+OrAP8AXB/WhjklUvmaKlLS8lLxGRRCWavC4AcoDj3H1qxYXu/iZB4soFLkxkxe7+mLvf4O7/cPdvaljtpnD6e3f/usy61hC05ABurOQ0YG3rJY2V9DZUhw0RkYQl+uV8IPCeu6+MVyBc9l5Ytt6YWQ+CDiMFwHOVxDGdoBPJHsDhda2XbGZGNGJk67ShiEjCEk1eLQhaVdXJDcvWpwHh9HN3z4tTZk6FsnWpl3QR031eIiK1kWjy+h44KuwmX6lw2ZFh2frUu0xM8SyrULYu9ZIuGjH1NhQRqYVEk9crBD0KnzSzjhUXmlkH4PGwzMt1jq5qbcNpThVlssNpuyTUK2Vml4bd6ueuW7eu2kDjiZqpt6GISC0kepPyPcDZwEjgJDP7J/AtwSC8fYBTCb7wV4Rl61PY5aF0oOD6rlfK3ScAEwAGDx5c6/VEIqYOGyIitZDo2IYbzOynwN+BwcC57EgCJUlhDnCOu29MWpSV2xZO21ZRpmTZtjLzalsv6aJm6iovIlILCQ8P5e5LgCFmdiQwlGB4KCNobU139w+TG2Jc34XTnlWU2bNC2brUS7poRKcNRURqo9ZjG4ZJqqESVWU+Daf9zKxVnJ6Dh1YoW5d6SRdRhw0RkVpJ21Hl3X058AmQCYyouNzMhgI9CEbRmFnXevUhahqYV0SkNhJKXmZ2kpn9y8yOraLMT8MyP6t7eNW6M5zebWZ7l4lhd2Bc+PYud48lqV5SlXSVj8Vq3edDRKRZSrTl9WuCjhqzqygzm+C026hEVmxmA83s45IXMDBc9D8V5pdy9+eBhwlGw1hgZv80sxcJxl48EJhCMNAuyaiXbCUjy+cV6tShiEgiEr3mNQj4zN3j3iPl7tlmNh84LMF1t49TZ5+qKrn7aDP7ELiSoANJFFhMcL/Zw/FaT7Wtl0xlR5Zvk1Xry48iIs1Oot+YXYFZNSi3nASHVnL3aezobp8Qd/87Qff9BqmXLKXJS502REQSkuhpw3ygQw3KdQD0jVyN0gdSqtOGiEhCEk1eXwBHhsNAVcrM2hOMbfhVXQJrDvRAShGR2kk0eb1IMPzT42aWVXFhOCjv4wQjVLxQ9/CatpIHUubqtKGISEISveY1DrgEGAYsMrPJBJ0cAPYDzgN6AUuA/0tOiE1XJPzXQUNEiYgkJtGxDXPN7ASCruSHADdXKGLAfOBXVfVIlIBOG4qI1E5txjZcZmaDgNOAE9kxRuD3wJvAy+6uu25rIFraYUOnDUVEElGrm4vC5PQy9f/MriYtEim55qWWl4hIItJ2bMOmIGJGZjRCtlpeIiIJqVXyMrO9zexPZvahmX1pZveUWXZ4+KThjkmLsglrnRVVy0tEJEEJnzY0s4uBhwhGZYfgYZS7limyG8G4gYXAE3UNsKlrk5mha14iIglKdFT5nwCPANuB6wnGIqw4pNNUYCtBhw6pRpusqHobiogkKNGW1w0ELa2T3H0mgFn53OXuhWb2JXBAUiJs4lpnZug+LxGRBCV6zesIYHZJ4qrCcoJBfKUabbKiGmFDRCRBiSavDsCKGpTLpJbd8Jub4JqXWl4iIolINHmtBXrXoNx+wMrEw2l+2mTptKGISKISTV4fAQPNbHC8Amb2M2BfYFod4mo2WmdGyVVvQxGRhCSavP5M0LvwRTM7wczK1TezowlGlS9CA/PWSNusDLJ12lBEJCEJJS93n0XQ47AH8AawgaD34TAzWwO8B3QHbnD3BUmOtUlqnZlBflGMouJYY4ciIpI2Eh5hw93vBU4G5gLtCVpiHQluTl4IDHP3vyQvxKatTVYUgNxCnToUEamp2g7MOxWYamadCTpwRIHl7v5DMoNrDtpkBb+CnPwi2rds0cjRiIikhzp1Z3f3DQSnDjGzfcxsOPC9u89NRnDNQevMoOWlIaJERGou0eGhfmVmr5vZYRXm3wJ8AfwDmGVmk5IYY5PWtkzLS0REaibRa17nAUcDpZ0xzOwg4HYgRtCVfjNwtpn9KkkxNmmtM8PkpXu9RERqLNHkNQD4zN1zy8w7j6DH4SXufjRwKMGI8r9JTohNW2mHDZ02FBGpsUSTV2d2HjljKJAN/B3A3ZcCH6KBeWuktMOGWl4iIjWWaPLKoswjUMwsEzgEmOnuZb99VwNd6hxdM9Cm5LShWl4iIjWWaPJaBRxY5v3RBAntowrl2hI800uq0brktKFaXiIiNZZo8poO7G9mN5hZf+AOgutdUyuUO4iajT7f7JW0vDRElIhIzSWavP5IcH3rTuBTgicpv+vuc0oKmNm+QB9gVrKCbMqiEaNli4ie6SUikoCEblJ296/M7CfAdcDuwGzgTxWKHQd8BryalAibAT3TS0QkMbUZ23Chu1/k7r9w99vdPa/C8ofdfYC7v568MJu27Pwipi5c3dhhiIikjYSTlyRfNGLE3Bs7DBGRtKHklQIiZhTHlLxERGpKySsFRCNGcZmW15mPzOTMR2Y2YkQiIqlNySsFRAxiehaliEiNKXmlgGgk/mlDtcJERHam5JUCKp42jEeJTEQkoOSVAiJmxBLssKFEJiLNmZJXCohGDAcKimp34UuJTESaGyWvFBC1YKD+ZIyyUTaRKamJSFOl5JUCIpEwedXjyPJKZCLSlCh5pYBoSfJqoGd6xWudKcGJSLpQ8koBLTOCX8Of3/6KwuLUuOFLSU1EUpmSVwpok5VBz06tmfr5aq5++tOUHudQrTYRSQVKXilijw4tufUXB/LGwtV8szY7rcc6VIITkfqW0PO8pH5dfGRv3J3/fu0Lti7fzLhpSyiOeek1saakJIk9e9kRNfpZRKQsJa8Uc8lRfXjxk5Ws3JzHPVO/JBoxOrXJZPpX64i5E7Gml8hqSglPRErotGEKatcyg/33aMfLV/6EDq1asCE7nwsfn80nyzazZG02L36yImU6dqSympy+1KlMkfSkllcK+9GeHdln97bEYs6lQ/ty04v/ZkteIdf94zMAWmdGuf2fi9iUU0DblvpV1pVadiLpQ994aSASMX52YBce+6At7s6tv+jHFZPmsXV7IZNnfU9+OKzUkXf/i9yCYlq3iDJ14SryCorJaqHGdX1JNNkp8Ykkj5JXmjEzDu7Rge67tKI7rXjyoiGcPu4jcvKLOLhHR95ZtIaNOQVcPumToDxw3L3T2JhTQNusDBb9sBV3x5rxtbNUoGQnUjf6tzzNtWwRpX3LFnTt0IqHzhnIIXt2ZHDPXfjnmCPps2sbunZoSd/d2pJXUMzyTXmc/MAHfLp8M4t+2MqFj8/mqzXb+HZ9Do++v5SNOQVk5xexakteSt9r1hxVdZ1O1/CkOVLLqwmKRoLW2W7tsgCYcMFgznxkJgVFMc49vCd3vv4FBcUxNucWsL0wxtbtRfzx9S9K6x9x578AyIgYpz34Ics35pKVEeVvH3/PlrxCMqMRNuYUqAWX4nRaU5oyJa9mJDMjwhmDevDc3OVA+S+sCecP5tzHPqagKMaon/TmofeWUFgcY5fWmXy1Zhub8wq5dcrC0nUNvONtIEhwp4/7iGUbcsnKiPDYB0tZty2fjIgxa+kGcguKyIhE0vqm6+ZIiU9SnZKXANChdQvaZGXQJgvOOWwvXp6/EoAnLxrCmY/MxN25/+wB/PqJORQWxzj/8J48+sFSCoqdVi2ibMsvYkNOjP9+bUcL7swJH5f+vM/NrxONGJkZEX7z1Fy+XZ9Di6jx2AdLWRsmu5nfBMkuGomwvbBhBimW5FOCk4ag5JUC0uGP2czo2qEVHVq1AGDUT3rzxsLVAPz9N4eXJrjHRh3K+Y/Noijm/OfJB3DbK59TVBzj1B914+nZyygoirF8Yy4bcwooinm5ZHf2ozuS3f63TiVikBGNcNQ9wWnMtVvzycyI8Lt/fMaKTbm0iEZ49d8/sCWvEHdKO6tkZUTIK1DyS2Vq2UldKXlJ0pgZ7Vu2oGWLKAA/2XtXOrfJBOB3J+zH7G83Aju+jNydRy88lAv/Gia7Uw7gtpeDZDd8UA8mffw9RTHn0J6dAJj+1Tryi2J8tGQ9q7duB2DM3z8t/fxLnppb+vOBt00lMxohMyPC1U9/yvcbcjAz/vvVRXy/IYeMMPFl5xeRETHWbN1OUXGsSQ7F1dTUNMEp4TVtSl7SaMyMDq1akNUiShbw47670ilMdmN+ug8ffL0egPvOPAQo/2U0YvwMioqdu8/ozzXPfIoBdw3vz3++uID8ohi/6N+NJ2d+R0FRjPnLN7N2Wz4O/H32MrYXFhPz8onvsP95t/TnI+58l63bC8mIRLjkybl8vTabqBl/enMxq7dsJxoxXp6/kg05BUQNFv2wlYKiIPFtzCkgvyhGxMDVYzNlqEXX9Ch5pSD9IVUvYkZmhrFvl3a0bxmcyuzfo2Ppdbtrjt+HGd8Eya+yL6zimHPHsIO4+ulPKY45Fx/Vm0emL6WoOMYRfXfl7UWrKYrF+GFzHrkFRRTHnPHTl5Z2PLnmmfmlsZz8wAelP5d0ZAHoP/Ytit3JCk91frchh6gZ9739FSs35xEx+PusZWzIzicaMZas3dZkB2JOB0pw6UXJK8XpD6Z+RCPGAV3bl7b0zj2sJ6/M/wGAe0f+iDMfyQXKf3k9/ZvDOWP8DIpjzn1nHsJvnwkS31U/3Ye7py4m5s7FR/Zh4oxvKY7BsfvtxpT5P7C9MMbHSzewPruAWMx54N2vS+P4z5cWlP58/H3vA0EPziPv/hcbsguIRmDkIzNZvGorZsavn5jNl6u3YQb3TF3M/l3bk1tQhJnx7focthcWE42Yxr6sJ0pwqUPJK42U/cPQH0nDi0SMFtEILaLQd7e2tM4M/nxOOrgrE2d8B8CFP+7F6wtWAfBfvzyIxau3AeW/4J659HBGPjKTmMND5wzk0qfmUhSLcenRffnft76koCjGkF6deO/LtRTHHANiDh6LsT67gILiGDF3Jry/lKIytyAc+7/TSn/e5+Y3iFhwanbA7W+RnV9E1IxhD33Et+tzyIwa9731JWu2BqdBX/nsBzbkFJARMRau3EJ+mAS3Fxbrfr4EKak1DCWvJkB/GOnFzIiYEbHgIaStMqNAlGEDuvP07GVAcJ2vuv/y/3bxYSxdn82Yv3+Ke9ACfODdryl254yBPZg8axmOc8KBezD189UUx5x2LTMoKo6RWxDjwfeWUJL7rn56x/W/X/zfh6U/73/rVCBoqR59z3tsyM4nIxrhun/M5/sNuUQjcN/bX7FiUy7RiDHl05VsySskI2Is25BLYXGMqBIfoFZbsil5NTFqnTUfmRkR9t+jfWmPzrLJ76rj9uHDJcE1vzuGHcRXa4IW4N8uPqz0y3LyJYcxYvxMYu7cO/IQrn02OA362+P35c43FhOLOWcO2ZPJYa/PAXt1ZNqX6ygqjjFr6UbWbttOzCl3GvS3z84v/fnoP71X+vO+t7yBe3A9b8T4GSxZm01GJMJ/v7qIFZvyyIgYL8xbwabcoPX3+Q9b2F5YTMSM/KLmc9uDklrNKXk1E/GSmv4wmq+M8FYCgL1333Ea9IR+e/DXD78FYPQxezP9y3UA3H/WgLhfriPHz6DY4Z4z+jNm8icUxZzLhvbl//71NcUx55T+XXnpk5WltyNsL4xRFCvi77OXkRvek/e75z4rje2UB3a0/va7JbjnLxoxTvjzdFZt3k40atzw/Gcs25hLi6jx5IzvWLt1O2bG9K/WsXu7LAqLY2Q0kc4vSmQ7U/KSUkpwUltmRoYF1wLbhzeylx2K7KaTDmD+ss0APHNpJYkv7AQzevInFBU71/5sX/705mKKY86IwXsG9/wVx+i9axtWbdlOQVGM6V+tY+3W4BaI2175vDSWCx+fXS62Abe/RV5hMVEzRj4yk69WbyMjatw9Nbj1ISNqfLRkfenoLtn5RSl9nU+ts4CSlySkJglOiU8SYWZkRI2endvQNiv4SjrxoD144qOg9XflsXvz/ldB6++R8wfvlPhiHgw+ffHEOcTcueUXB7JuWz53v7GYoliMn+7fhdcWrCIWdn4pKI6RW+A8WqbDy7mPzSqN56Db3gSCXp9D//Qe67fl0yIjwq1TFvLD5jxaRCP8a/Ga0hvct24vTIlk19wSWbNPXmZ2DnAF0B+IAouBJ4CH3V39jZOoromvufxRSs2ZGVGDTm0yS0+BHtorGJHlybAHaNlrfpXd+lBY7Nx8ygHcMmUhxcUxzj5sLybO+I7iYudHPToGI7sUxnh5/kq2bi8C4KKJO0Zz6T/2LQxoEY3wq3Ef8d2G4FTm/775Jau25JERiTBjyXq2FxaTGW2Yp1A1h9ZZs05eZvYQMBrYDrwLFALHAQ8Cx5nZCHdvPleL00hdEmFT+yOW2il768PhfTqXdny59Oi+vPvFWgAeOLv8db4zHp5BYXGMsaf14/cv/JuiYufsIXvx+EffUlgcIysjSk5+EUUxZ9y0Hb05zynTsht0x9vkFRaTmRHh5pcWsHJTHpkZET5euoH8cH59airJrNkmLzMbTpC4VgNHu/vX4fwuwHvA6cAY4P5GC1LqXX0kwXT/UpD4ohEjGokyYK9d2KV1kOx+c3Qf3vliDQBPX3p4ufv5RoyfSWFxjN+ftD+3vLSQgqIYR+27G28sWEVBUYzXF6xiU24hAGeVeQrDoDveJregmMwM4+aXFvDD5jxatojyxaqtSR2FJZ0TWbNNXsBN4fT3JYkLwN3XmNkVwDTgRjP7P50+lOrUJJEpOTYvZlaa7H7cd9fSh8Pe+auDWbouGwjH6Xx4BgXFMa7/+f7c+vICCopiDN1v99IE99qCVWwOE9xJ9wdDkbWIGmc+MpOl63LIahHh9QWryMkvKh0UuzlolsnLzHoAg4AC4LmKy919upmtBLoDhwMzGjZCkfKqSlg6bZreIhGjZSTKkfvsyu7tWgLwP6cfzDdrdyS44Q9/RH5hjMuG9uXuNxazvaiY4pizOa+Awmxn9ORPStd39D3vsW17Ia0zo0xduLrGpyLTrRXWLJMXMCCcfu7ueXHKzCFIXgNQ8pImKlktQyXK+pURiZCRFeHUH3Vj0sffA+UHmR57Wj9++8ynbC+McXD3Dry7eA2bcgu5fNI8IDjdef5fZzFgz45syi0o7dUZTzoksuaavHqH0++rKLOsQlkRqQMlxPoRjRgHde9A57bBacmHzh1YmtRuPuUArn12PjkFxazPLig3JNhR9/yL3Pxi2rXMYNmG3LjrT9VE1lyTV9twmlNFmexw2q7iAjO7FLgUYK+99kpuZCJSYzW9taI5JsVoxBiw1y50aR+cinz2siPILShi+LgZ5BQUcVD3Dry9aA0bcgo4+k/vkZURoWPrFkz7ci2xmBNJ8dFJmmvyKvmt1Oppge4+AZgAMHjw4Fqto6n9oYg0JU018bXOzKB9qxa0b9WCcecOYuT4GWwvjPGrgd35yztfs25bPqOemEPEoGPrTF7796pyvRtTqRXWXJPXtnDatooyJcu2VVFGRKScdDolama0yowy6ie9eWPhamIxZ/RP9+b3z/+bTbkFXPn3T4iEN4HP+35juZFEGjuRNdfk9V047VlFmT0rlBURaTCNkewiEePY/Xan965t6OWtufZn+3HNM5+yPjuf4Q/PpFWLKF07tEyJh5021+RV8vCifmbWKk6Pw0MrlBURSVnJTnBmxhF9O9N71zbs1ak1wwf14I5XF7F0fQ7H/u80WkSMXcN71xpDs0xe7r7czD4BBgIjgKfKLjezoUAPgtE3ZjZ8hCIi9aM2SS4aMc4eshcvfbKCzXmFtMrM4LPlm8kpaLzR85pl8grdSXCD8t1mNsPdlwCY2e7AuLDMXRpdQ0Sam3hJzczYpXUmz1x6OCf+5X2yMhpvRI9mm7zc/Xkze5hgRPkFZvYOOwbmbQ9MIRigV0REKJ/IOoZjOzaWZpu8ANx9tJl9CFwJDGXHI1EeR49EERFJWeZeq9uUJDR48GCfO3du9QVFRKSUmc1z98G1rd8wT0YTERFJIiUvERFJO0peIiKSdpS8REQk7Sh5iYhI2lHyEhGRtKPkJSIiaUfJS0RE0o6Sl4iIpB2NsFFHZrYO+L6W1XcF1icxnOZA+ywx2l+J0f5KTF32V0933622H6zk1YjMbG5dhkdpjrTPEqP9lRjtr8Q05v7SaUMREUk7Sl4iIpJ2lLwa14TGDiANaZ8lRvsrMdpfiWm0/aVrXiIiknbU8hIRkbSj5CUiImlHySsBZnaOmX1gZlvMLNvM5prZlWZWq/1Y2/UlO476lIxYzayFmR1nZvea2cdmtsrMCsxspZk9b2bHVFF3opl5Fa/FydjOZEnW77au250ux1iSjq9jqtlXZV97VaibFseXme1nZteY2SQzW2xmsTC+M+q43kb7DsuoS+DNiZk9BIwGtgPvAoXAccCDwHFmNsLdi+t7fcmOoz4lMdahwNvhz6uBeUAOcCAwHBhuZne4+x+qWMdHwJJK5q+qybY0hHr63Sa83elyjCUxztXAk1UsHwIcAHwDLI9TJtWPryuAa5K5wkb/DnN3vap5EXxBOsGBuE+Z+V2AReGya+p7fcmOI132GfBT4HngqEqWnQkUhes7tpLlE8Nloxp7nzTwMVar7U6XY6wh4wQ+D9f3n2l8fF0C3AOMBPoC08K4z2jI/Z/U74XG3qnp8ALmhjv1gkqWDS3zy4jU5/qSHUc67bNqPuuxcH1/rWRZuny5JPsYq23ySotjrKHiBI4I11UEdE/X46uSuOuavBr9O6zRd2Kqv4Ae4Q7NB1rFKbMiLPPj+lpfsuNIp31Wg8+7MlzXm5UsS/kvl/rYX7XZ7nQ5xhoyTuDRcD2vJms/p8KrLskrVb7DUuria4oaEE4/d/e8OGXmVChbH+tLdhz1qaFj3SecVnV94Vgzu8/MJpjZHWb28xTqfFCf+yuR7U6XY6xB4jSz1gSnpQH+Wk3xVD6+ki0lvsPUYaN6vcNpVSPHL6tQtj7Wl+w46lODxWpmewCjwrcvVFH0gkrmLTKzs9x9QV1iSIL63F+JbHe6HGMNFecIoB2wFni1mrKpfHwlW0p8hzXV/wySqW04zamiTHY4bVeP60t2HPWpQWI1swxgEtABeNfd/1lJsfnA1UC/MK5uwC+Azwh6K75jZt1rG0OS1Mf+mk/i250ux1hDxXlROH3K3QvjlJlP6h9fyZYS32FqeVXPwqk38vqSHUd9aqhYxxN0sV0OnFdZAXf/S4VZOcBrZvY2MB04HLgJGFN/YVYr6furltudLsdYvcdpZnsDR4dvH49XLk2Or2RLie8wtbyqty2ctq2iTMmybVWUqev6kh1Hfar3WM3sfuBignt0jnP31YnUd/cC4M7w7cm1iSGJGux3W812p8sx1hBxlrS6Zrr7F4lWTrHjK9lS4jtMyat634XTnlWU2bNC2fpYX7LjqE8ln18vsZrZvQSnatYRJK6vE11HqGT0g8Y+rfNdOG2o32287W7oOGqr5LPr6/iKsuMaVnUdNaqSKsdXsn0XThv1O0zJq3qfhtN+ZtYqTplDK5Stj/UlO476VG+xmtk9wHXABuBn7r6odiEC0DmcZldZqv419O823nanyzFW33H+nCDh5ADP1qJ+iVQ5vpItJb7DlLyq4e7LgU+ATILeR+WY2VCC+xdWAzPra33JjqM+1VesZnYXcD2wiSBxfVbHUEeG0zlVlqpnjfC7rXS70+UYa4A4Lw6nz7p7XRJPShxfyZYy32GNfbNcOryAM9hx5/feZebvzo6hY66pUOdOgtMGdyZjfXWp10T22R1hnU3AoBrGcAhBz69ohfkZBK234nCdP29K+6su250ux1iyj68yZXYluIm22htl0+n4qiT2aVRzk3Kqf4c1+k5MlxcwLtyxecA/gReBLeG8lyo5gCeGyyYmY311rZfO+ww4LZzvBP/FTozzurFCvWFhnQ0E/8k9B0wFVobzi4EbGns/1cP+qtN2p8sxluy/ybDMtWGZL2rw+WlzfAEDgY/LvLaGMX5Vdn4i+6u2x0myjq9G36np9ALOIRg9eivB+fB5BEMT7TQOVw3/UGq8vmTUS9d9RnATstfgNa1Cvd7AX4AZ4RfK9vAP5muC7s81asGl4f6q83anyzFWD3+T/w7LXF+Dz06b4ws4piZ/Q7XYX432HWbhikRERNKGOmyIiEjaUfISEZG0o+QlIiJpR8lLRETSjpKXiIikHSUvERFJO0peIiKSdpS8ROqRmX1nZm5mvRo7loZiZtPCbT6msWORpkvJS0RqzMxGhYlpYmPHIs2bnqQsIsl2AdAaWNbYgUjTpeQlIknl7kpaUu902lCalPCUloc/X2pmn5pZrpltMLMXzeygGtS72MxmmdnWcH7HMuVOMbM3zGy9mRWY2XIze9LMDqhBbMPNbIaZbTOzLWb2lpkdmaTt7mlm48xsqZnlm9kmM3vPzM6JU35suG1jzayLmT1iZivCut+a2V1m1rJCne+AJ8K3F5bss4qnEeNd8zKzieH8UWbWz8xeMLN1ZpZtZh+a2bFlyv7CzKaH+2mrmb1iZvtUsf17mtn9ZvalmeWFdT4KP8sS3Z+S+pS8pEkysz8DDxM8auFlYD1wOjCrqoRhZv8HTCB4ptOrBKNdlyS1O8N5JxA8e+j5cP0XAJ+Y2SlVhHRNWD5C8BiIpcDPgGlmttOD+RJhZocB84ErwlkvAXOBnwCTzeypKr7A9yTYxl8QPNZjGsGzlX4P/KNC2ecJRgIH+AZ4sszrwwRCHgzMBvYF3gW+DGN908yOMrOrCH5nBrwJbAROBd43s84VVxYmvQXA1QT7dyowC+hPkGyfTCA2SReNPVS/Xnol88WOxzvkAEeXmW8ED9dzgmsxLePU2wwMqWS9J4fLs8uuN1x2fZm6u1dY9h07nu00ssKyK8JlW4E9arm9LcPtceDPlHkWEnAQsCZcdlmFemPLbPOjQGaZZQcA28JlP6lQbxTVPyZjWljmmArzJ5b5zOsqLLs7nP8lwT8ER1XYxvfD5bdWqNeVILkVARdC8KSMcNmeBI+Td2BUYx+beiX3pZaXNFUPu/v7JW88+Da7haDFsycwPE69e9x9diXzfxdO7y+73nDdfyL4T78D8Js4633J3cu1ZNz9YYIv5XbsePR8okYQbM/3BA8+LC6z/oUESQrgP+LUXw5c7e4FZep9AfwtfHtcLeOqykx3v6/CvLvC6b7AQ+7+QZl4thMkZoBjK9T7LbALcK+7Pxn+nkvqLWfH7+OqJMUuKULJS5qqSRVnhF/sT4dvj4lT78WKM8wsg+C0FgSth8qUXAuKt96d4gmVJIl49aozNJxOdvfCSpY/QdDy2NvMuley/F/unlfJ/MXhtFst46rK1Ioz3H0TwROJK11O8IDHyuI5OZw+F+ez5hG0lg+peA1P0puSlzRV38aZ/1047RFn+feVzOsMZAGxOMshuAYEUFmCqEs81Sn5vErXH7ZafqhQtqx4PQO3htP6+MJfEWd+dhXLS5ZVjKdPOJ1ToQNJSQecGNCW4Ltup+tlkr7UVV6aq0ofIR6nFVK2s0O8R4/XtUdbbR9pXvK5VdWvKrZYLT+3Lqr7zERiiobTZ4Ht1ZTNT2C9kuKUvKSp6gV8Fmc+7GiN1MR6gi++rLD+15WU6R1OVzZAPGWVtFL6VLYwPFXWtZrY0tlyYG/gDnf/vLGDkYaj04bSVJ1bcYaZRYEzw7fTaroidy9iRxfxC+IUG1XNeneKp8L8GsdTwfRwenZ4ba6iCwlaXkvcPRnJq6RjR6r84/tGOK3T7QaSfpS8pKkaXfZ+rvA+p/8i+C99JfBCgusr6R33WzP7SdkFZnYdcARBF+/H4tQfbmblejia2aUEHTWygb8mGE+J5whaH72BO82s9G/azA4k2GaA/63l+isqSYDV3pTdQP5EcH3uP83sysoSuJkdXtd76ST1pMp/TyLJ9igw3czeB1YBA4H9gDzg3DjXtuJy99fM7G6Cm3ffN7MPCE71HUxwP9V24Dx3XxNnFQ8Az5vZxwSdK/YHBhBc3/mNu69KdAPDuLab2UiCFsh/AKeb2RygE0FizCTo0TihNuuvxMfAamCgmc0luFm7EPjI3Z+osmY9cPflZjaM4AbqB4Gbzexzgp6L3YC+4fRZ4vdIlDSklpc0VdcR3NvTCRhGMGrEFOAwd58ev1p87n4jwUgPbxMkrTMI7jH6GzDI3V+tovr9wFkEp/BOI2gBvgMc6+7P1CaeMnF9DBwCjCfowPAr4DCCRHMecGHZ+5/q+Fn5wInAawStvfMI7lEbWlW9+uTu7wH9gP8B1gKHE/zO9yK4PnkTcHNjxSf1w5J0TIukhJLxCd1d49mJNGFqeYmISNpR8hIRkbSjDhsiKcLMdiWxXoF3ufvi6ouJND265iWSIsysF/GHkarMse4+rX6iEUltSl4iIpJ2dM1LRETSjpKXiIikHSUvERFJO0peIiKSdpS8REQk7fw/95vAXoCpN3QAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x='prob_ontime', y='dep_delay', yerr='std_dep_delay', ylabel='seconds');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "492a28a9-539d-44e7-b767-6988fa948fbc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x='prob_ontime', y='taxi_out', yerr='std_taxi_out', ylabel='seconds');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd8216bc-53fa-4d02-bd7e-9fe11826e858",
   "metadata": {},
   "source": [
    "## Analyzing mistakes\n",
    "\n",
    "Looking at correct vs. wrong predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ded93c43-bea8-487f-86fa-73751daeb66b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Query complete after 0.00s: 100%|██████████| 1/1 [00:00<00:00, 650.28query/s] \n",
      "Downloading: 100%|██████████| 101/101 [00:00<00:00, 107.47rows/s]\n"
     ]
    }
   ],
   "source": [
    "%%bigquery df\n",
    "WITH preds AS (\n",
    "  SELECT\n",
    "    CAST(ontime AS FLOAT64) AS ontime,\n",
    "    ROUND(predicted_ontime.scores[OFFSET(0)], 2) AS prob_ontime,\n",
    "    CAST(dep_delay AS FLOAT64) AS var,\n",
    "  FROM dsongcp.ch10_automl_evaluated\n",
    ")\n",
    "\n",
    "SELECT \n",
    "  prob_ontime, \n",
    "  AVG(IF((ontime > 0.5 and prob_ontime <= 0.5) or (ontime <= 0.5 and prob_ontime > 0.5), var, NULL)) AS wrong,\n",
    "  AVG(IF((ontime > 0.5 and prob_ontime > 0.5) or (ontime <= 0.5 and prob_ontime <= 0.5), var, NULL)) AS correct\n",
    "FROM preds\n",
    "GROUP BY prob_ontime\n",
    "ORDER BY prob_ontime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d61ffca4-17f8-4fde-ac11-c15a1abc8818",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df.plot(x='prob_ontime', y='wrong', ylim=(0, 50), ylabel='dep_delay', style='r--');\n",
    "df.plot(x='prob_ontime', y='correct', ax=ax, ylim=(0, 50));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f075044f-6aa0-418e-9d38-19eb6c122404",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Query complete after 0.00s: 100%|██████████| 1/1 [00:00<00:00, 840.88query/s] \n",
      "Downloading: 100%|██████████| 101/101 [00:01<00:00, 83.01rows/s] \n"
     ]
    }
   ],
   "source": [
    "%%bigquery df\n",
    "WITH preds AS (\n",
    "  SELECT\n",
    "    CAST(ontime AS FLOAT64) AS ontime,\n",
    "    ROUND(predicted_ontime.scores[OFFSET(0)], 2) AS prob_ontime,\n",
    "    CAST(taxi_out AS FLOAT64) AS var,\n",
    "  FROM dsongcp.ch10_automl_evaluated\n",
    ")\n",
    "\n",
    "SELECT \n",
    "  prob_ontime, \n",
    "  AVG(IF((ontime > 0.5 and prob_ontime <= 0.5) or (ontime <= 0.5 and prob_ontime > 0.5), var, NULL)) AS wrong,\n",
    "  AVG(IF((ontime > 0.5 and prob_ontime > 0.5) or (ontime <= 0.5 and prob_ontime <= 0.5), var, NULL)) AS correct\n",
    "FROM preds\n",
    "GROUP BY prob_ontime\n",
    "ORDER BY prob_ontime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "8d6ffae4-1d8c-4d9f-9c87-a2c4caa05453",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df.plot(x='prob_ontime', y='wrong', ylim=(0, 30), ylabel='taxi_out', style='r--');\n",
    "df.plot(x='prob_ontime', y='correct', ax=ax, ylim=(0, 30));"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6205f311-af5c-422c-b3f3-e25b1c54e21b",
   "metadata": {},
   "source": [
    "## Categorical Features\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "8e6358f2-f0dc-41d8-a43f-fbdadf2a601e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Query complete after 0.00s: 100%|██████████| 1/1 [00:00<00:00, 576.38query/s] \n",
      "Downloading: 100%|██████████| 1592/1592 [00:00<00:00, 1670.67rows/s]\n"
     ]
    }
   ],
   "source": [
    "%%bigquery df2\n",
    "SELECT\n",
    "  ROUND(CAST(dep_delay AS FLOAT64), 0) AS dep_delay,\n",
    "  AVG(IF(origin='JFK', predicted_ontime.scores[OFFSET(0)], NULL)) AS JFK,\n",
    "  AVG(IF(origin='SEA', predicted_ontime.scores[OFFSET(0)], NULL)) AS SEA,\n",
    "FROM dsongcp.ch10_automl_evaluated\n",
    "GROUP BY dep_delay\n",
    "ORDER BY dep_delay ASC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "0b9c6cf3-2ce4-4242-80a1-af789e27b3d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df2.plot(x='dep_delay', y='JFK', xlim=[-10,100], style='r--');\n",
    "df2.plot(x='dep_delay', y='SEA', xlim=[-10,100], ax=ax);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1b30cc77-f445-4f12-bb4b-7d0a92354834",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Query complete after 0.01s: 100%|██████████| 3/3 [00:00<00:00, 875.82query/s]                         \n",
      "Downloading: 100%|██████████| 13667/13667 [00:01<00:00, 8601.92rows/s] \n"
     ]
    }
   ],
   "source": [
    "%%bigquery df2\n",
    "SELECT\n",
    "  carrier,\n",
    "  ROUND(CAST(dep_delay AS FLOAT64), 0) AS dep_delay,\n",
    "  AVG(predicted_ontime.scores[OFFSET(0)]) AS prob_ontime\n",
    "FROM dsongcp.ch10_automl_evaluated\n",
    "GROUP BY carrier, dep_delay\n",
    "ORDER BY carrier ASC, dep_delay ASC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9b30232d-7d2b-4128-844c-a33adc3e6823",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>carrier</th>\n",
       "      <th>dep_delay</th>\n",
       "      <th>prob_ontime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9E</td>\n",
       "      <td>-35.0</td>\n",
       "      <td>0.999952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9E</td>\n",
       "      <td>-34.0</td>\n",
       "      <td>0.943798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9E</td>\n",
       "      <td>-33.0</td>\n",
       "      <td>0.999634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9E</td>\n",
       "      <td>-32.0</td>\n",
       "      <td>0.999904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9E</td>\n",
       "      <td>-31.0</td>\n",
       "      <td>0.998244</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  carrier  dep_delay  prob_ontime\n",
       "0      9E      -35.0     0.999952\n",
       "1      9E      -34.0     0.943798\n",
       "2      9E      -33.0     0.999634\n",
       "3      9E      -32.0     0.999904\n",
       "4      9E      -31.0     0.998244"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df2.copy()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b8aa5f1f-486d-4476-9199-64fcb5afd67a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>carrier</th>\n",
       "      <th>prob_ontime</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dep_delay</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>-35.0</th>\n",
       "      <td>9E</td>\n",
       "      <td>0.999952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-34.0</th>\n",
       "      <td>9E</td>\n",
       "      <td>0.943798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-33.0</th>\n",
       "      <td>9E</td>\n",
       "      <td>0.999634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-32.0</th>\n",
       "      <td>9E</td>\n",
       "      <td>0.999904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-31.0</th>\n",
       "      <td>9E</td>\n",
       "      <td>0.998244</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          carrier  prob_ontime\n",
       "dep_delay                     \n",
       "-35.0          9E     0.999952\n",
       "-34.0          9E     0.943798\n",
       "-33.0          9E     0.999634\n",
       "-32.0          9E     0.999904\n",
       "-31.0          9E     0.998244"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df2.set_index('dep_delay')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "4d29684a-6e8f-42d6-af57-6a19abbfa12d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>carrier</th>\n",
       "      <th>dep_delay</th>\n",
       "      <th>prob_ontime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>EV</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.342751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MQ</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.410017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>YV</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.438485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>G4</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.444849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AS</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.445402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>OH</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.464148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>NK</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.473527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>YX</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.484638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>F9</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.485174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>HA</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.485399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>OO</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.502569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>AA</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.521105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>B6</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.530532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>WN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.560291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>9E</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.564168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>UA</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.568230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>DL</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.648556</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   carrier  dep_delay  prob_ontime\n",
       "0       EV       20.0     0.342751\n",
       "1       MQ       20.0     0.410017\n",
       "2       YV       20.0     0.438485\n",
       "3       G4       20.0     0.444849\n",
       "4       AS       20.0     0.445402\n",
       "5       OH       20.0     0.464148\n",
       "6       NK       20.0     0.473527\n",
       "7       YX       20.0     0.484638\n",
       "8       F9       20.0     0.485174\n",
       "9       HA       20.0     0.485399\n",
       "10      OO       20.0     0.502569\n",
       "11      AA       20.0     0.521105\n",
       "12      B6       20.0     0.530532\n",
       "13      WN       20.0     0.560291\n",
       "14      9E       20.0     0.564168\n",
       "15      UA       20.0     0.568230\n",
       "16      DL       20.0     0.648556"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfg = df2[df2['dep_delay'] == 20.0].sort_values(by='prob_ontime').reset_index(drop=True)\n",
    "dfg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "495d2af8-5c31-415e-935f-07e27e7b015d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EV\n",
      "0.342751241665416\n"
     ]
    }
   ],
   "source": [
    "print(dfg.loc[0]['carrier'])\n",
    "print(dfg.loc[0]['prob_ontime'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "a9ab84a5-9988-41de-9bc5-dc5f7edf0975",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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hIbaY2MASNErnvW6qqtDUFECDNQRrQ/PIZENDCA6HH8dOKwkKCCYsKIoQ/wj8lBA8DUaslXbqKm001No7dTdVRYHIpEAS+4YR3T0QjUZDVZGVigIrFflWqooacLs6dAQmAEazjsS+YSQNCCOxTxgmy5kHXyGEEEII0br09HR69+7d1d34UVi2bBnTp09v+fqzzz5j9uzZHbr3+uuv55NPPgEgLCyMoqIiDIZzs5/H6XxPFUXZrqrqsM58/AsiLKYG+Kt/GDWEJoOeRoMem+HcDZh6UKjVB2Izm9AEewgMayA6poz46EL0uo4HqI5wOIw0NITQYA3F2hBCgzWEpqYgVFWD2WwmOTmZ5ORkuiUkoVP9qK+0UVdpo76y6egZjE3UVdqwWZ1n1Q+jRUdi71AS+4aR0CcUP3891aWNVBZYKcut58j+SmpKGzvUlqJRiE0NovuQSFIGR2AJMp5V34QQQgghRDMJix03Z84cFi5cSFxcHIWFhcyYMYMlS5ac8r7q6mpiYmJwOBxER0dTXFzMwoULueaaa85JPyUsdoLugX7qy4OTsNjAbAejXcFu0NFo0NNoPPrZoKfRoKPJoMd9DqZEuhQtVpMFj78GXbAbvzAbweF1hIdVEWKqO3UDHeTxaLBaQ6moSKS8PAmH3QJAYGBgS3hMTk4mKCio5R5bw/ENbqqLG6gubaS6uIG6StsZjUiGJ/iT2CeMxL6hRHcPQqvVUFPaSO7eCnL3VlKcVdOx9Y8KxKYG031IJN2HSHAUQgghhDgbEhY7pqqqitjYWBwOB2vXrmX8+PEA5OXlERsb2+69r7zyCvPnz2f8+PFMnTqV3/zmN0yfPp2lS5eek75KWOwEQd0C1cSnux2bsYmiqpjsYLHTEiDNdhWLDSxNEF2lEFepI7Reh1Oro8mgw6Zv/tyk1+HQd97IpEPRU2UIocFsxuWvRxvkxi/UTkhQLWGmKsL9qk5rXeTJamsjKS9LoqKiG06nqaU8LCysJThGREQAoKqq14fb5aGusunoCGQT9ZVN1JQ30VSq6fAaSb1JS2LvUHqNiSGxbxgajYK90UnegSqO7K3kyL5KbA0dGNmU4CiEEEIIcVYkLHbMSy+9xAMPPMCECRNYtWoVl112GV9//TXPPvssjz76aLv3DhkyhJ07d/Luu+8yefJkEhISADhy5AhxcXGd3lcJi51gQEwv9b07X2S75SA7zbvYYTlIva7hlPdp3SrxFZBSopJSrNK9RKVbGWg8Cja9liaDniaDjgajnnqTAavJQJOhc9bbuY0W7P4RWM0RVJuCqA0Es6WEhIBCEgIKifMvwqjt+PRRVVWoro6hvCyJysoE3O4znzetKAopcb0IdadRnFGPvdF16ptoPr6j95gYeo+JITDcDwCPR6X0cC25eyvJ3VtBVdGpvy8oENM9iNShURIchRBCCCE6SMJixwwePJhdu3bx7rvvcuutt7Jw4ULmzJlDWloaGRkZbd63e/duBg0ahL+/PyUlJVgsFmbMmMHSpUv54x//yGOPPdbpfZWw2AkGxPRSl859veVrDyoH/evZGpDDDvNOsvQ7UJWOBR6tWyWhHLqXqC0hMqECDEdvd2oUrCZDS3isP/px1qORikJ0j95EDxiGMXUQ9VozFbXZNDUeRHVmYeQwwfpcAvS+R2OczOPRUFUZT3l5ElVVcXg8Z9a3gIAALpt+GSGmWI7sryRvfxVlR+pOPXVVgYTeofQZG0vywHC0uuPTfmvLG8neUc6h7WWU59WfuhMKRCcHkdAnlMQ+oUR2C5CdVYUQQgghWtFusHgqqPXyH4unTv03cEfs3LmTIUOGEBAQQElJCWazGYfDQWxsLJWVlXz//feMG9f6xpn3338/L7/8MrfffjtvvvkmAJ9++inXXnstqampZGVldUofTyRhsROcHBZPVqeDrSF2tgYWs91ykEptHhpPHRp3LRp3LQrtB0nFoxJVAwkVKvHlzZ8TylViq0Dvbr7GrtNiNeqp9/MOki6t9oyekyEqke7DRzFi/CWExSeiHD0Esqa+kFW7PsFas5Q4S84p23G59FRVxlNVHUtNdQxOp99p96Vv375Mnz4df39/mqwO8tOryNtfRd7+Sprq2x/9NPnr6TUqmt5jYwmNsXjVnXZwBAx+OuJ7hpDQO4SEPqFynqMQQgghxFESFk/tvvvu45///Cd33HEHb7zxRkv5sSB422238dZbb/nc11agPLH8u+++4+KLL+6Ufh4jYbETnCosnizPrFBh1FCnV6jTQa3eRb3WTr22kXqtlTptHRoq0TjycVpzqFVKqQh0oR4NbMdoPCrR1ZBQ3jwa2RIiK0FD8wCcTa+l3mT0GoW0mvR4NB0fHbObwzD1GEivUWMZM3IwwRYDbo/Kyj3b2ZaxkES/9cT5F3esLVs4DY3daGpMxmZLAAwoitLyUVtbS12d74Y8JpOJadOmMXDgwJbgqnpUSnLqSF9fRNa2UlyO9neDjekeRJ9xsXQfGone4B2ia8ubyN5RdlrBESAw3ERC71ASeocS1zNEjuUQQgghxE+WhMX22e12YmNjqaqqYt26dYwdO7al7tiIo7+/P8XFxfj7+3vdu2DBAq677jp69OhBZmamV90DDzzASy+9xNy5c3nnnXfOup8nkrDYCYYOGqJ+8+QnNO2vxHOWx0S0pl4HB8M0VEY0Uud/iMqmDeQ2HeGQUkujxjcgWZpU0gpVehWo9CxQSS0Cg/t4vQo0GprXQdb5GSgLtFBn7ti6vHqtherwNBL7D2LyxDH0T4lm+5FqPt6wBk/jSkZEbyfCXNmhthTFQHDQEEJDxxEaOpaAgH64XG6+++471q9fT2s/GykpKVxxxRWEhIR4lTuaXGRtK+XAuiLKjrQf9oxmHaOuTKHPRXFoNIpP/bHgmL2j7JRteT+f5vMhE3qH0q1fGJFJga22L4QQQghxIZKw2L6PP/6YG264odXAB8fXMr755pvcfvvtXnXTpk1j+fLlra5NPLaW0WKxUFxcTEBAwFn39RgJi52g18Be6vZt27HoLThLG7BuKqFxdxlqBzdmOV0VRoWcKCOalECCUlRchgKyynaSUbaLjLpcCh11qCdkFJ1LJaUEehY0B8he+SoBNu82G/U6SoMslARZqLaYmpPPKXhQqLVEEdy9DyPHjiQytRfvbi1kW9Z6hkRsZXj0ToKNHT+2Q6cLJjR0DGFhl6B6hrJkyQqKi31HLPV6PRMnTmTkyJFoWhkhrSio58C6YjK3lLS7OU5kUiDjb+xJRGLbv1DWahv56VXkp1eTn151WmdGmix6Evo0B8fEPqH4BZybw1KFEEIIIX4IZIOb9k2ZMoWVK1cSGRlJjx49fOoPHz5McXExY8eOZd26dS3lBQUFdOvWDY/HQ//+/QkMDPS5d+PGjXg8Hl5//XXuvPPOTuuzhMVO4Jfsp/Z8uid9w/syInoEw6OHMyh8ENoCJw07S2ncXQ6nmCJ5NgotGsrizPj3CKFf/yj8/eFI3RGyy/aTsXUxWfn7yTM2Uhyi4NQqKGrzVNVeBSp9jqgMPaRidhxvz67TUhpopjTInwp/P9QOjo65FS2a6GQS+w0g3xjHR4fdhJmy6Bt2kD5hGSQF5qFROvb91umCiY25jtLS3qxZsxuXyzf0xcXFMXPmTKKiolptw+Vwk72znPT1RRRm1rR6jaLAgAkJjJiZjMHU/kY8qkelosDavGbyQBXF2TV4XB38+VUgslsg3fqGktgvjMhuMuoohBBCiAuLhMW25efnk5SUhMfTsUyQkZFBWloaAH/4wx944oknOnTf6NGj2bBhwxn382QSFjuBX7KfmvpUqleZTqNjQPgARsSMYET4cHpWJeDYVY3tYCWc4mfEDdi1zdNFDR7Qn8ZL5AEKgnQ0hBvRR5oJjwugW2IwhoZyqj5bQMY3/yNfV0dxjEpJrIfCMIVCk4a0XIUx6c3B0XTC4JlTo6Es0ExpkIXyADPu09gJVNUbUWK6U2BOZJk9HkXnpHdoJn3CMugTdpDIDkxXVRQdwUGXkp4eT1aW3adeo9EwcuRIkpKSCA8PJyQkpNXRxprSRg6sL2Lfd4U47W6fekuwkYvm9CBlcETLmshTcTrcFGXVkH+givz0qo4dy3GUyV9PYp9QEvuG0a1fmKx1FEIIIcSPnoTFtj3zzDM8+eSTTJo0iW+++abN6+bMmcPChQt55JFHeO6551BVlR49epCdnc3777/PzTff3Op91dXVxMTEYLfbSU9Pp1evXp3SbwmLnaC1sHgyg8bAoMhBjA4dySjNYOIbo/CU2HAWW3GWNoK77dfBpoEiPwUVhVibBz/frHNKDg1UB+lxhhnRu2sw79uAsnElakM5quqhIhAKolVKokDngpgShbQ877WObkWhIsCPSn8/KvzNWP06Pq3SYzThP2IqGw29WZ9bh9ujEu5XQd+jwbF3aCYWfVO7bWi1vTiYHkdJSTTNW/i0do2W8PBwIiIivD5CQ0PRarVYq22sW5BF9s7yVu/v1i+Mi69Pazmn8XQ01NjJO9C8S2t+elWHz4fUaBWSB0bQZ2wM8b1DZcRRCCGEED9KEhZbp6oqqampHD58mHfeeYe5c+e2ee3ixYuZOXMmMTEx5Ofn8/333zNhwgQsFgulpaVYLJY277366qv53//+x69//Wv+8pe/dErfJSx2guDUYDXhiYTTuseitzAiegRjY8cyJmo00fYwHMUNzeGxqAFncQOehtbXx5UboMykweRWSWxUT2vk8WQuRaVateIu2U9A9kY8lVngaQ45bqDu6M9jUCNoTnocu05LhX9zeKz096PJeOrRMYdJS8SEseh7XMHK9Do2ZFfgUUHBQ1JgPkOidnNJ/AYs+sY223C7Q8jNTaG0JBW3u2OBVaPREBYWRkREBN26dSPClMy6BYeor7T5XKvTaxg2I4lBlyZ6ndF4OjxuD6U5dRzZV8mR/ZVU5Fs7dJ9/iJFeY2LoPTrmjAKrEEIIIURXkbDYulWrVjFp0iTMZjMlJSXtbkDjdDqJjY2loqKCxYsXs2DBAt5//31uueUW3nvvvXYfZ9GiRVx11VVERUVRUFCATneW57AjYbFT9OmRqn654nPSPblsK93GluItFFgLTquNhIAExsSOYUzsGEZEj8Cit+Cpd+IosmI/VIMtowpXue/ImxPI9ddg1UGIQyWp8exeTyce6hryMeVuhZJ9eOqLvC/QakBVweP7OI0G3dFRx+bw6NC3/QNq9XPTMCyaweNn0ljXk2/317HpcCUeFQxaO2NitjC523dEW8rabMPt1lNS3J2iol7YbKe369OAAQO4fMZMti89wq6VeXhaeT4hMRbG39iT2B7Bp9V2axpq7eTtr+TIvuYpq46mU4w6KhDfM4Q+Y2NJHhSOTn9m52UKIYQQQpwvEhZbd8stt/DBBx9www038NFHH53y+vnz5/PKK68wa9YsVqxYQWNjI8uXL2fKlCnt3nfimYtffPEFM2fOPOu+S1jsBAmhweovJo8jMCKSxH6DSOw/EGNSNHubDrKlZAtbS7ZS3NCxcwgBdIqOAREDGBM7hrFxY+kd2hutRouryoYtsxpbRhX27BrUVjbNqdZDoZ+Gen3zVMYAl0psk0qo48xe5yZ3I57S/WiKduMuS0d1dOwoCRWoNxkoCbaQEx7c5lrHWouTPWn1xAwdwIio8dRXpbFgcw0F1U0oeOgXns7kbmvoG5bR9mOpCo2NvTmS25vKSnOHn9vUqVMZPXo0lUVWvvsog+JDrW+J3GtUNEMvSyI4suNtt8fj9lByuI4j+yvJ3l5GbStvApzIaNaRNjKaPmNjCI/vvK2QhRBCCCE6k4TFC4+ExU5wLCyeLDwxiW79B5LQdyBKQgg7a/awpWQLm4o3UWWr6nD7wcZgJiVOYkrSFEZEj0Cn0aG6PNhza7FlVGPLqMZV1va0TasODls0lBsVbHoNOgVCGz0kWz2En2aIbLIWoSnchfPIOtTGijauUoHj6+4cWg2HI4PJDQ/C08rmMwBVAQ52ptVQGGVnUOQgYg3DOJidyM7DzaOTcf5FTE5cw6iYbei1bY/KBQWOxmyZjbU+noqKCsrLy6moqKC+3jfkKorCLbfcQkpKCqpH5eCmYjZ8lo2ttem/CqQMjGDQ5ERiunfeOUGqqlJ8qIYD64vJ3l6Gy9n+7kcRiQH0HhNDj+FRsimOEEIIIX5QJCxeeCQsdoK2wuKJNFot0ak9m8Njv4FYIzRsKN7IxqKN7CjbgdPTsfP7QowhXNrtUqYlTWNo1FC0mubpia7qo6OOB6uwZdWAq/3Q4VDgcKiOI0kWKlWVgLImhle4iLZ17Puhqiq2igOomStxl6fTHBBbvfLoZwWbTkt2VAh5oYFtHsdREWRnR1oNReG25qmYlmQM9v4cPJyIvSGWAEMD4+PXMSFhHUHGtkc5AwL60a3bPCIjpqIoWpqamigqKmLBggXY7cd3VfXz82PevHkEBwcD0GR1sOF/2Rzc0PZIcFRyIIMnJ5I8KKJTN6OxN7nI2lpK+voiyo60P4Kr0Skk9w+n5+gYEvuGoj2NXWqFEEIIIc4FCYsXHgmLnaB7XIw6f8Io3M6OH9juFxhE6rCR9BgxhvCePdhZtZsNRRvYULSBnNqcDrURZgpjcrfJTEuexuDIwWiU5sDgsbuxZVTRtL8SW3oVquPU26faNLAjwcj+MD2uRhf9Kp0Mq3J3aOdVm6Ma0pfhzN8ALt/jLY5rHnFs0us4FBVCQWgAahvHVORHNLK5bzVW8/FRRLMmFFtdL6xVPVGaEhkZvYepSauI82872Pn5daNb4l1ER89GqzWSmZnpM1c8Ojqa22+/HYPh+GY5RVnVrPkok+rito/DCAw3MXBSIr3HxKA3du6awspCKwfWF5GxuQR7Q/vrG/0C9KQNj6bn6GgiEmSaqhBCCCG6hoTFC4+ExU4wbNgwdeOG9RQdTCdv3y6O7N1Nac6h5o1gOsDg50fKkBH0GDGapEFDqXBVs7FoIxuKNrCxeCP1HVgnGOkXyZSkKUxNmsqAiAEtwVF1erAdqqZpXyVNBypRT7WxCs1nNaYHalgXqaPMoiWuzs2oShd96tofrXTpFIzxKkb/CtzVhTiLi2navRtHdvZJVzaHxgaDnqzoEIqC/aGV0OjSeNjbvY59KbW4T8piimrCUZ+Gq743PY1wedJa0kJOfpzjDIZwEuJvIy7uRjZs2Mnq1au96vv378/s2bO9zlh0uz0c2lbGrm/y2t3N1GjW0e/iOPpPiMcSZGzzujPhdno4vLuc9A3F5KdXtT2Ae1RYnD89R0WTNiKq0/sihBBCCNEeCYsXHgmLnWDYsGHqtm3bvMqarPUU7N/LkX27ydu7i+riwg61pdMb6DZwCD1GjCZl6Ah0ZhNbirewLHcZ3+Z926HgGO4XTveg7iQEJpAYkEhCQAIJAQnEm+PR5jto2l9J0/4KPPUdGwktMimsjdSxM1hLgEvl6gInvU8RHD3dg4i4KB5j90DqvvyCshdfxF3e+hrHepOBzKgQSoP9W62vMzvZ3LeKwgjfYy4AVI8OZ81IYhzJXN5tI4Mj97bZL63Wn9iYOezebWH//hqvumMb3vi0r6oUZFSza2U+efsr22xbo1NIGxFN34tiiUgM6PSpoXWVTWRsKiFjU8kpN8VRNAqJfULpOSqa5IGym6oQQgghzj0JixceCYudoLWweLK6inLy9u3myJ6d5Ozahr2h7emNx2i0WuL79Cdt5Bj6XDQR9Fo2Fm9kWc4yVuWvosF56jZOFuEXQUJAAon+CQxw9CS1NJawCguaUhe4T/29qDIofBmrY3+QlktLXUwqdaFr5zZHkIGwcXFY+gdR/d7bVL71Nqqt9dBX62fgQGw41f6tny+YG9XAlj7VNLYxN7Y5NI4guKk3lyVsYVTMNnSatufR2mxhlBQnUFaehN0WgKIo3HrrrSQnJ7d5T2WRld3f5JOxpQSPq+0nrtNriOgWQHRyEFEpgUQnB2EJ7pyRPlVVKTlcx8FNxRzaVnbKYzjMgQZGXplC79ExKJ24xlIIIYQQ4kQSFi88EhY7QUfC4oncLif5+/eStWUDh7ZuorG25pT3BEZEMfXuB0jsNwAAu9vO+sL1LM9dzpr8NTS62t4NtSP6BffltrCbGObuh1pgw36kDk+do+3nAKyP0LIiSk9ik4fZ+c52d1Z1+uuInJKMPs5DxUv/oPaLL1u9TgUKQ/w5GBPW+jmNiocDqdVs7W5FbWPgrjk0DsevfjBT4rdzSfwGTLr21lJCXW0EZeVJNFh7c/vtD7RseNOWhlo7e9cUsO+7QuyNp57aC+AfYiQqOYjolECikoOISPQ/6xE/l8NNzp4KMjaVkLe/st2ZzxGJAYyb04PY1OCzekwhhBBCiNZIWLzwSFjsBKcbFk/k8bgpzswga8sGsrZsoK687UPoAQZOvoyLb74Ng+n46JvNZeP7wu9ZnructQVraXK1P0WxPYGGQGalzuK6tDnEqlE4jtTjyKvDnlePs8ja6uhjvlnhi1g9dQaFKwqd9K9te4qqEuFH6PRkVFcRZX/5M03btrd6nVOjITMmlCNhga2uZ7Tom2hMK+KrOCjTtRIqAdWjxVkzAm3tSCbE7ObSbt8RaGh77SEcO7MxiSGD5xEdPQ2drv0NY5x2Nwc3FrPr23zqTjE19GQarUJ4vD/xvUJIGxFNWFzr03A7qqHWTuaWUjI2FVNZ2Paoc+qwSMbMTiUg1HRWjyeEEEIIcSIJixceCYud4GzC4olUVaUs9zCHtmwga8tGKgvyWr2ueZTxfhL7DfSpc7gdFNQXkFefR15dHvn1+eTX55NXn0eRtQi32oHtTY8aGzeWG3rewLi4cWg1WlSnG3tOHdYNRdgO+p4TadPAN9E6toZqGVHlZnKxC0Mb315DUiBB05OwZ2ym7Pm/4cxr/bnW+hnYFxdBraX1YJNmKaO+RylvRZopbS801g7HUzWWoWG5jIzeTt/wg2iV9tddajRGwsMnER09i/Cw8ShK26OAHo9Kzu5y0jcVUpZTT1Ndx0YbTxQW50/ayCjShkfhH3LmQU5VVSryrRzcWMz+dUW4Wzm7UavXMHhyIkOmduv0nVyFEEII8dMkYfHCI2GxE3RWWDxZZWE+u5YvYdfyr1qtHzh5OhffdBsGP3OH2nN6nBRbi1vCY15dHlk1WWwp3oLazjabcf5xXJt2LbN7zCbEFNLcVlkj1vWFNO4oQ20ljOwP1LA0Vk+0zcOcPCfGNnKZX78wAibGUb/8cyr+9S889b4b+KhAfmgAGTFhOHW+wUanuhkffYiMbo28HhxISVuhUdXirBmGo2ICFkXLlJT9XNsnncaGnW0+95Z++iWRmHgHMdGz0WqPBzmXy8WRI0fIysoiMzOTqqoqgoODuWzKTJRGC6U5dZTm1FKWV9/uGkcvCsSlhdBzZBQpgyMx+rX+fDqirrKJjf/L5tD21kesLcFGRl/VnbQRUV47wQohhBBCnC4JixceCYud4FyFxWMK0vex/NV/UFPie55gQHgEU+c9QLcBg868/foCFmQu4POsz6mx17R5nUFjYFryNK7reR39w/ujKAruBicNW0qwbixqdY1jZoCGl3oYmFLi4vIiF60uM9SAZUQM5mFB1C/+lNpFX+A4csTnMrtWQ0ZMGAVhga32L0VfxZSUdJYG+fF6cBDF7Yw02stm4KweTfcIf97/WSKN1V+RkfkBJlPrO7Yeo9eHEhFxLQ3W4Rw6VMrhw4dxOHyft5+fH7fffjsRERFA8xEYFQVWSnJqWwJkXUXrG/2cSKvTkDQgnJ4jo0jsG4ZWd2Y7rBZl1fD9gsw2jwCJSg7kojlpRCW3/toKIYQQQpyKhMULj4TFTnCuwyKA025j3cfvs+PrL1s9v3HApGlcfPPtGM0dG2Vsjd1tZ3nucj4++DF7K9o+fgIgLSSN2T1mc3nK5QQZg1BdHpr2VlC/rhBnoXcgcSnwVoqB7yK03HPIwbiK1qfCKgYN/hfF439RLPb0fdQu+oK6r7/GU1fndV212ci++Ajq/Xx3FzW5XMyMP0B0SC1fBFh4PSiIotY2ygGctYOwFc+mV1QYH//fKFyNdXzwwZ8JCs4kMjIHk6ntdX9ut5ay0hQKC/vQ1NR6wAoKCuKOO+4gMLD1+sY6B/npVWRuKSH/QNUpj+U0WnT0GBpF2ogoorsHnfZIoMejcnBjMZsWZdPUxrEpPUdGM2pWd/xD5IxGIYQQQpweCYsXHgmLneB8hMVjCg8eYPmrL1JdXORTFxAewZR595M0YPBZP87+iv18nPExX+d8jd3d9k6iBo2BS7tdytU9rmZY9DAUFBw5ddSvK8SWXul1iHxmgIan+5vwd6jcn2mnbxtnNWr89QTPSMFvUASqw4F11SpqF32Bdd06cDcHTQ9wJDyIjJhQPBrv0TbFo9JNY+WqtF24tfClv4XXg4MobCU0um3RNBXczIDoVD64YwRFRw7z3//+F1AJCKggJiaTiMhcNJrW+6qqUFkZT2FBX+rqIgDvABcVFcVtt92GydT+GsSGWjuHtpWRuaWEsiOnPkszIMxEj+HNwTEs9vQ2xnE0udi2NJfdq/LxtLJhkVanoefoaAZfmkhw1Jm/+SCEEEKInxYJixceCYud4HyGRWgeZVz/yQdsX/pFq6OMfcdfSrcBgwkICcM/tPlDZzCc0WPV2GpYdGgRn2R8QoG1oN1rEwISmN1jNld2v5IIcwSuiiaqFmbiOHJ8ZPDYKOPbKQbGl7q4N8tOfFPrPwPGtBBCZqWiO7prp6u8nNolX1G7aBH2jAwA6kwGdnWLwmryfX6BjU6GJJQwNDIXJ/BFgIXnQ0NoOClcqm4TTUVzGBo+jndvH8HmDd+zZs2alnqDoZHY2IPExGai07U+Igeg1/ekrm4U27a64IQJt0lJSdx8883o2pgWe7LqkobmXU03l1BfeeqpqmFx/qSNiKLH8KjT2uG0pqyRDZ8dImd3G1NvFUgZFMHgyYlEpwR1uF0hhBBC/DRJWLzwSFjsBOc7LB5TmJHO8n+/SHVx4SmvNfkH4B8aRkDo8QB57CM0NoHgqOh27/eoHtYXrmdBxgLWFq7Fo7a9k6hW0XJR/EVc3eNqxkaNwbrkCA1bSryuyQzQ8MwwC4d0KlfnO7kz20GI0/dnQdFrCJyShP/YWK8D5W0HD1L7+SJqFy3CUVfHgbhw8ltZy2hyuAh0aZjYL504YxU5eh0PRoaT3Up4tldMYETwDbxx63A+/3QhGUcDacvz0jqJij5EXFx6u1NUXa4w0g8MoqYmtqWsb9++XH311Wg0HV9zqKoqJdm1ZGwp5dD2UuwNp95hNbZHMD2GR5E6NBKTRd+hx8lPr2Ldwiyqitp+TjGpQQye0o2kfmFe3wchhBBCiGMkLHacx+MhKSmJ/Px8IiIiKCwsRK9v+2+3gwcP8uKLL7J69Wry8/NRVZWIiAji4+MZPXo006ZNY/LkyZ3eTwmLnaCrwiKA02Fnw4IP2b5kEWo7Ae5U4nr1ZehlV9J9+Eg0mvaPUihtKOXL7C/5LOszCq3tB9UIvwhmpc7i2oZpuJeVeZ3T6FLgnX5m3ojVYnSp3Jrj4OZcR6s7p+rj/QmZ3QPDSVMuPY2N1CxcSMVbb5Nvt7IvPgKX9qT+qyrxlQ244gKZk/Q9Tq3Kk+GhLPO3+DyOy9qDkf7zeeXaUXz4/nsUFzdvKmQ0GklNTaVHjx50755EQ8Na8vLfoL5+f9uvU2kKh7OH4nI1j/aNHDmSadOmndGuo26XhyP7KsnaWkrOnopWj8M4kUarkNg3jLThUSQNDEdvaP976nF7OLC+mB3LjlBf1fZoZki0mcFTEkkbHo1Wf2ab7QghhBDiwiRhseOWLVvG9OnTW77+7LPPmD17dqvXfvLJJ9x66604HA7i4uIYMGAAISEhlJeXs2PHDiorKxk6dCjnIo9IWOwEXRkWjynKTGfZv/9BdVH7U0VPJTAiisHTLqf/xCkYzb5h6kQe1cPWkq18lvUZ3xz5BqennSmaGj13Bt/MFbtGojR4B52sUB2/Hx3IAZeTxAYPj++3MbS6lU1wNAoBF8cTOCkBRe8dflSHg9rFSzjy2qts1XtaPZcx1NpEUKPCuCEHiQio54PAAP4WGoz7pPDmcQYzzO8XvD7nSo7k5mA0GomLi0N7UghVVZXqmk3k5b1BZeWaVp+302Ek+/AwysuSAYVLL72UcePGtfk6dYSjycXhXeVkbi2lIL0DG+OYdfS9KJb+4+NPeX6jx+3h0I4ydq7Ia3PnVABzkIGBExPoe3HcWR3tIYQQQogLh4TFjpszZw4LFy4kLi6OwsJCZsyYwZIlS3yuKykpoXv37jQ2NvLCCy9w//33e/1N6vF4WLduHevWreOxxx7r9H5KWOwEP4SwCOByOMjY+D2lhw9hraqkvqoCa1UlDTXVqJ7TG3XUm/zoN+FSBk+7gpDo2FNeX2OrYcnhJXyW9RmHag61eV24M5i/lD1ETF2od9818OGkSP6lacKjqlxZ4OSBTDsBrcy81IX7EXxVKqbuwT51qttNzYoVrH31ZQ6ZfEe+DC43vQsqie3VSJ/kfLYbjfwqMpzKk85vVD1a+pt+xofXPYCmA9MurdZM8vLeoLjkf9DKmZVVVbEcOjQCuy2Aq666ioEDB56yzY5oqLVzaHsZmVtKKcuta/dajUah+9BIBk5KICqp/SMyVFWl4GA1O1ccIT+9us3r9CYtA8bHM3R6Enpj+6OXQgghhLiwSVjsmKqqKmJjY3E4HKxdu5bx48cDkJeXR2ys99/db7zxBnfddRejR49mw4YN572vEhY7wQ8lLLbF43HTWFPTHCCrK7FWHf2orKC6pIjirIy2b1YUug8dwZDpV5LQt/8pp1Cqqsreir38L+t/LM1ZSpOryecavUfH/JIbmFw72qfuwOAQHomHYoeLMLuHh9PtTCptfa2eZXg0QdOT0Jh953erqkr6++/w7eJPcbQS9noXVhAYDWP7plOu0/JQZBg7W9mxNMkwngXX/AU/vV+7z/uY2tpdHDz4GNYG39fU7dZyJHcQxcV9uPHGm0lNTe1Qmx1VU9ZI1tZSMreUUlPa2O61Md2DGDgpgeRBEacMw+V59excmceh7WWontZ/XwNCTVx8QxpJ/cPPuP9CCCGE+HGTsNgxL730Eg888AATJkxg1apVXHbZZXz99dc8++yzPProo17X/ulPf+Lxxx/nyiuvZNGiRee9rxIWO8EPPSyeSnleLjuWfkn6utW4nW1PJY3olsyQy66k15iLO7S7aoOzgcXZi3l3/7u+O6mqMLN6PP9XejVavEek6mLNPD3Cn++amoPmJWVOHjlgJ9Lu+7Oi8dcTfGV3/PqFtxpkrdVVLH76MYqKfafn9s8vwxXkz5RhO1C1Ki+EBvNBkO+IW6gumf/Nfpswv7BTPmcAj8dJXt7r5OS+jMfj8Kmvrw8lJ2ccc659iLi4uA61eTpUVaU8r57MLaUc3FTc7sY4AWEmBk5MoPeYGAynmE5aV9HE7lX5HFhXhMvR+kh19yERXDQnDUuwnNMohBBC/NRIWOyYwYMHs2vXLt59911uvfVWFi5cyJw5c0hLS/PZYPGDDz7glltuwd/fn40bN9KvX7/z2lcJi53gxx4Wj2msq2XPyq/ZteIrGmrannroFxBI92GjSB0+ksT+g9Ab2g8GLo+Lb/K+4a29b5Fele5VN6AhjccK7yTIfdLGNcCHQwN5JVzFDVicKvdl2bk2v/Uwa+oZQvDM7ujCfEcAPR43W7/4jPUfv4964hRRVWVQXimNxmDGjd1PiKGRpRYzT4WH0nTSrqUJxuF8dd2bp7U5TWNjDgcP/pbqmk0+daqqUFranymTXyEiovMD4zFOh5uMTSXs/ja/3dFGvUlLn7GxDJgQT2B4+6OotgYn+74rZM/qfJrqfb8fepOWUVem0O+S+A5N4RVCCCHEhaG9YNH/3f7nuTeda+/cvZ3Szs6dOxkyZAgBAQGUlJRgNptxOBzExsZSWVnJ999/77W/RX19Pb169aKoqAidTseUKVO45JJLGDp0KMOGDSMo6NwebyZhsRNcKGHxGLfLScaG79n+1ReU5Wa3e63OaCRpwGC6DxtFypDhmAPb/oFVVZXNJZt5e9/bbCg6Puc60hHK7wrm0d2e4HPPzmAtjw8xU3Z0punAahe/3W8nuaGVkS2dhsAJCQRcHI/Syk6duXt28vmzT+HxHN88R1FVhuaU0KQNIOmiMnpZCsnS63kwKpwjJ21fPN7/j/zjqitOKwCpqkpx8adkHXoWl6vWp97hCKR//z8THzelw22eCdWjcmR/Jbu/zafgYNtvBCgK9BgexdhremAObH/02GFzsWVxDntW5be6yU5ktwDG39SLiMSAs+2+EEIIIX4EJCye2n333cc///lP7rjjDt54442W8vvvv5+XX36Z2267jbfeesvrnvT0dG699Vaf3U41Gg2jRo3i/vvv57rrruuU/p1MwmInuNDC4jGqqlJ4cD87ln7Joa2bTnk0h6JoiO3Zm+7DRpI6bCQhMW2PmKVXpvP2/rdZnrscj+rB6NHzQPFNTKgb4XNttV7hyf4mNkQ0T5PUe1RuO+zgtsMO9K38+OjC/Qie2R1TWohP3aGtm/jyhT95bfij8XgYfrgYt8eE82IDl4bsol5RuCMminTj8cAUYo1iSOhz/HXOEPTa0zs2wu6oIDPzGcrKvmq1PsD/Ivr1exKzOfm02j0TlYVWdn+bT+aWUtyu1r+nfgF6LrmhJ92HRJ6yvfK8etZ8eJCyI/U+dYoCAyYkMGJmMgaT7JoqhBBCXMgkLLbPbrcTGxtLVVUV69atY+zYsS11x0Yc/f39KS4uxt/f3+f+DRs28NVXX7F582Z27NhBdfXxAYC5c+fyzjvvnHUfTyZhsRNcqGHxRLVlJexctoR9q1dib2z78PYThcYlkDpsJD1GjCGqe49Wp3AW1Bfw3oH3+Dzrc2xuG/0benBDxXQGN/byus4DvJds4N+pBtxHR/aSrW4ePWBv/ZgNwK9/OMGXp6AN8p4mm/79apb+8wVOHA7Tuj2MzC5C69Kwd3Qqt8WsYKPZyN3R3mHpn4X11PjNYOrND2GMOP1gV16+il27f41GU+NTp6oa/C2XM2jQbzGZOrY+8mw01jnYt7aQfd8VtDqdFJpHGS++Pg2Tpe1DYgE8HpV93xWy6YtsnDbf74d/iJGLrksjZVBEp/RdCCGEED88Ehbb9/HHH3PDDTfQo0cPMjMzfeqPrWV88803uf3229tty+PxsGnTJp5++mlWrFgBwIIFC7j22mvPup8nkrDYCX4KYfEYt8tJ/v69HNq2meztm7FWVnTovvje/Rhz7Y0k9B3Qan21rZqPD37Mhwc/pNZeS+/GFG6omM7whr5e1+0K1vLYQBNlx47FUFUuK3bxiww7oQ7fnyXFoCVwciL+Y2JRThgN3L3ya755459e1+pdbkZmF+HncLN86Ej+L+Ur7osNZJfpeNgc29jEq6XleABP0nh0w26FXpeDruMbutjttSxbfg8Wy2ZaWwLpchkxGa9h2LCHsFjaP+KiM7icbrK2lrLrm3yqinzfCDAHGZhwc68O7XRqrbazbmEm2TvKW61PGhDOxdenERDa/nmPQgghhPjxkQ1u2jdlyhRWrlxJZGQkPXr08Kk/fPgwxcXFjB07lnXr1nWoTbfbzYgRI9ixYwc33ngjH374Yaf2WcJiJ/gphcUTqapKWU52c3DctonyIzmnvCehT3/GXHsT8X1a38mpwdnAgowFvLP/HapsVaQ1deOGiumMsh4PmTV6hd+dMC0VIMCpcs/RDXBaW1GojzYTPCsVY9LxNZVbv/yMtR++7XWdweli9KFCLA4Xi/qMI3nYRv4Y593i+0UlxDb5oVdchCgN4BcKA6+HwbdAVJ9TvgbQPA3hs8+ex89vMYFBrQerpqZANJo5DBt6B5GRp54OerY8bg87VuSxdUkOHrfv72WvMTGMu7YHxlPsmgqQu7eCtf/NpL7K5lNn8NMxbV4/EnqFtnKnEEIIIX6sJCy2LT8/n6SkJDwdPPs8IyODtLS0Dl3761//mueff57Jkye3jDJ2FgmLneCnGhZPVltWSvb25uCYf2Cf17rAkyX2G8iYa28irlfr4crmsvFZ1me8te8tyhrL6G6L5/qK6YyrHww0T0t9N9nAv3oYUE8Ynutd6+aZDAfJ1a0fF2EeGkXQ9CS0/s1rEdd9/D6bP//E6xo/h5NRhwrxc7r5OmkE387cT57F3lI/qqmJ10vKyfVE8aTtVnRON/2UXAYYshnYLYDwUTfCgOtA236o8ng8ZGRksHfv21j8l2EytT69t6YmCodjFkOHzCI1NRWN5vTWS56uioJ6vnknncoCq0+df4iRibf0JqHPqYOe0+5m61c57Pom3+d8Ro1G4ZKbetJnbGwbdwshhBDix0bCYtueeeYZnnzySSZNmsQ333zT5nVz5sxh4cKFPPLIIzz33HOoqnrK3fivu+46FixY0OrmOGdLwmInkLDoy2a1krNrG/u/+5Yje3a2eV23AYMZc+2NxKa1/kPocDv4IvsL3tz7JoXWQpJssVxfOY2L6oagQcOGcC2PDfDDqj/+S6RRVW4t9vDzTDsau+/6OY1ZR9itfTAmBaGqKqvfeY2dyxZ7XWOxORiVXYTR5WZrbCJvzC6kOuD4Y7xTVMpQux27quP3rlv4wH0pHB3T7N5YyF2hW7n6xjno0yZ36PUqLs5j166/odEuR6fzXT+oqlBa2p262gkMHz6ZIUOGnNPQ6HZ52LY0l+3LjvgEPYB+F8cxenb3Dm1aU1FgZc2HBynNqfOpGzKtG6NmpqDIERtCCCHEj56ExdapqkpqaiqHDx/mnXfeYe7cuW1eu3jxYmbOnElMTAz5+fm8+uqrbNu2jXvuuYcRI7w3gnS5XLz99tvcfffdeDweli1bxtSpUzu17xIWO4GExfYVZqSzYeGH5O3d1eY1SQOHMObam4jp0bPVeqfHydc5X/P6ntfJrcslwR7NTRWXcUndMI6YFX412I9cf63XPZEOlbeLtUQd9D2yQuOvJ+qBIWgDDKgeD8tffYn933m/yxPYZGfkoSL0Hg8OrcI3g2HRaA01/gojmmy8WVLWcu0S9ygedd6JFXNLWbS7knnxWVx/zfX4xXmvvWxLdU0eu3Y9jdv9HYri+7vhduvIz++Lxz2FK6+cfc6np5YdqeObtw9QXeJ7RmNguIlJc3sT28N319mTqR6VnSvz2Pi571EsqcMimTS3Nzq9tpU7hRBCCPFjIWGxdatWrWLSpEmYzWZKSkoICGj7WDGn00lsbCwVFRUsXryYQ4cO8eCDDwIQHR3NoEGDCA0Npaqqij179lBUVATAww8/zJ///OdO77uExU4gYbFjCtL3sfHTj8jbt6fNa5IHDWXMtTcRndr6HG23x83KvJW8tuc1sqqzuLryUu4sm41VB7/t78e6SN+Rrse1Fq7ZVoe7zDvwGHsEE35bPxSNgsftZsk//kzW5g1e1wQ32BhxuAjd0dE1hw5WDlZYNErDC/VljLAdn56a64niXucD7FeTvNoIpY7bEsu59dprCYqIafc1Oqa2Lp09e36Lw7Gr1fr6+lCyMi9i+PCZjBs3Dp3u3B1L4XK62fJlDju/yYOTf10VGDA+npEzUzB0YC1j9o4yVr59ALfTe4pydEoQl93TH7+A9s92FEIIIcQPl4TF1t1yyy188MEH3HDDDXz00UenvH7+/Pm88sorXHXVVbz77rt8++23fPPNN2zZsoWioiLKysrQ6/XEx8czevRo7rzzTsaNG3dO+i5hsRNIWDw9+Qf2smHhhxQc2NfmNeOuv5WRV81ps96jeliTv4YXtr9A9/woHiy6BQUtr6YaeLu7786k4wItvJwP7k0lXuWB05IIHJ8AgMvp5Iu//p7c3Tu8rgmrb2RgXhkm1/EprQ4d7Orv4cbEMvR+x4OPXdXxD9dsNnn6cEiNow5LS50/TdyU0sQd18wkMjSIU1FVlcqq70hPfwaH44hPvdutJTdnCC7XRVx55Szi4to+17IzFGfX8u07B6gtb/KpMwcZGDM7lbQRUaecV1+SU8vSf+3xOa4jMNzE5fcNJCTa0sadQgghhPghk7B44ZGw2AkkLJ6ZvH172LDwQwoP7m+1/qIbf8aIK69ptw27285re15j98aNPJp/OybVyIpoHU/3M2HXeoeWRIOOBbuc6PJP2LhFAxHzBmLs1nxEhdNu47M/PenTJ8WjEl1rJamiluBGe8uOqx4dhHe3Etbbis7ku6FPiRpClieOLDWeLDWOLE8cuWo0U3r4M+/KSXQL9z1w9WQej4uiok/IPvwCLleNT311dQxZmWMZMmQiEyZMwGA4d6NzToebTZ9ns2d1Qav1sT2Cufj6NMLi2n9edRVNLHllt8/0VqNZx/S7+xOXduqprUIIIYT4YZGweOGRsNgJJCyeOVVVydu3mw0LP6Io44BP/fhb72LojCtP2U52TTZvLv8XN+25lCC3PxkBGn412I8SP+9NYBLtsGBTI7oTDo7XBhuJun8wGnPzwfP2xgYWPPMYZTm+6+sAAhvtdKuoJbbGivboz6+i9RDSo5GwXq2HxpOVqcEc8sTiDEoidcyVxI28GrTtH3zvdFZz8OATlJV/3UqdgUNZI3G7BzNz5kySk5NP2YezUZBRzar30qmv9D0aQ9EoDJgQz4jLk9udmmpvdPL1f/ZRmFHtVa7RKky8pRc9R3Vsyq4QQgghfhgkLF54JCx2AgmLZ09VVQ7v2MpX//gLTrt3AJl0+z0MmjrjlG14VA9fbV1E/GIdEc4QqvUKjwwysSPUO7CMK3Px4k7vqZSmvmGE3dy7ZQplY10tn/7+ccrzctt8PL3LTUJVHd0q6vBzNh/VoWg9hKQ2EpLagCHAdyfWtlj14fiNnYd2+O1gCW/zOlVVKSn9goyMJ3G7fY+2KCtN5tChEQwcOIopU6ZgMpk63IfT5XS42f51LjtX5uFx+f4emwMNjLm6/ampbpeH7z7KIH1DsU/dsBlJjLg8+ZTTWoUQQgjxwyBh8cIjYbETSFjsPPkH9vK/Z5/C5bB7lU/+v/kMmNSxrYDLS4spfH0H4dZAXAr8rZeRhYneUzN/edDGjUe818wFX9kd/9HHz/1zOuzsW7WCncu/orqo9WmXAKgqUXUNdKuoI8za1DJF1S/KTmhqAwFxNpQOnnKhao0o/a+Fkf8HMQPbvM5mK2L/gYeoqdnsU2e3m8nIGIPHncaMGTPo1atXxx78DNWUNvL9gkzy9le1Wn+qqamqqrJj+RE2LTrsU5c2IoqJt/RGqz+3Z0sKIYQQ4uxJWLzwSFjsBBIWO9eRPbv4/C9P43aeEOYUhWn3/IK+l0zqUBueRieHX9+E6eiA1efxev7c24jr6Hl+eo/KW5sb6V13wpRRrULkvYMwxHqHGlVVObJ3F7uWLyF7+5bmQw/b4G9z0K2ilrjq+pYdVBuNRkwhDqJjqjFHOTEEutFqTj1VlcQxMHIe9LoctL7TOVXVQ17+W2RnP4+q+p7NWFDQm9ycwSQlpZKSkkJiYiKxsbHo9e1Pdz0TqqqSs7uC7xdkYq2y+9QrGoUB4+MZfkUyxjampmZtK+Xbd9Jxu7xfm5jUIKbf3R8/f9kpVQghhPghk7B44ZGw2AkkLHa+nJ3b+OL5P+B2uVrKFEXDZfN/Ra+xl3SoDdXppuzD/TiPnrO4KUzLg0P8cB4NjHGNHj7c0ID/CbNFdeF+RM4fjMbY+pl/tWUl7FqxlM0rFqG1tx34dG438VX1JFbW4W9vDnLHftIVVLT+bo4kx1KdGsjlhs2YFd+A1SIwDobfCUPmgiXMp9pqzWD/gV9itR70qWtoCCLj4DgaGkIB0Gg0xMbGkpiYSGJiIgkJCVgsnbf7qNPhZseyI+xYcaTVqal+gQbGzu5O2sjoVqeXFmfXsvTfe7BZT9opNcKPy+8dIDulCiGEED9gEhYvPBIWO4GExXPj0LbNLH7hT3jcx9OcotFw+S8eIW3k2A61obpVar44RMOW5iMz1kTqeGSgCffRwDil2Mmf9nivkTQPiSR0Ts92291fsocn3phH79wAQuvbH/EKr2+kW3ktkfWNnByPag1mXhl2NT1jCpirXUGiprzthnQm6H8tjJkPEd7983jsZB/+O3l5b3DyYYgej4b0A5dQVRXfarNhYWEkJCS0BMiwsLCzXidYU9bI959kkbe/stX66JQgLr4+jYhE30Npa8sbWfLKHmpKfXdKnfp//UjoFXpWfRNCCCHEuSFh8cIjYbETSFg8dzI3r2fJi39G9RwfxdNotcz81WN0HzqyQ22oqkrdyiPUr8oH4KsYHU8O8Gup/+0+G7MKvUeyQq5NwzI0qt12H1z9IN8c+YbIaiO9jwTQrcSCpp0fZz+7k26VtcRX1WNwH38+KrAscQT/HnQVl+j28DPtMsZpWz9OBACtEea8Bz2n+VRVV2/mwIGHsNmLvMo9Hg0HDlxCdRuB8UQxMTHMmjWLqKj2n/+pHJuaum5BFvVVvrumokCfcbGMujLFZ4qprcHJ16/upSirxvsWjcIlN6TR96Jze6akEEIIIU6fhMULj4TFTiBh8dxKX/8dX7/8N1T1eMDS6nRc+esnSB40tMPtNGwpoWbJYVSHm4UJev7cp3mnUKNb5b2NjXRvON6+YtAQOX8w+ghzm+1lVmdy9ZdXt3xttmmZr7ma+q0ZNNbWtHmfxuMhrtpKt4paAm2OlvIKUyC/Gft/FAREk6bkM1e7gtna7/FTHD5tuPX+aP9vNUSk+dS5XPVkZD5NScnnXuUej4YD+8dTXX3qoKXT6Zg2bRpDhw4961HGY1NTd67I81mPCM0jhiOuSKHfxbFotMc3smlvp9SBkxIYc3UqGo3slCqEEEL8UEhYvPBIWOwEEhbPvf3ffcuyf7/otbmMVq/nqkeepFv/QR1ux13noHZZDo07yngn2cAraUYAute7eXdTIycekaiPsRD580Eo7ezE+dB3D7E8d3nL1z1CevDJ9P9yaPNGdi5bTHFWRrv9CbE2kVJeQ2Rd8xRVDwofp03k/T7TAQjCyhztGubqVhCvVHjdW6KNo/7WlfTo1nr4Kyj8iIyMJ7zKFEVPUOBvKCuLJC8vj5KSEtr7Hezbty9XXHFFpxzBUVveyLqFh8jdU9FqfVichYuuSyMuLaSlTFVVdq7MY+Pn2SfPriWpfxiT7+iLwdT2WY5CCCGEOH8kLF54JCx2AgmL58eeb5ez8rWXvcp0BiOzf/MUCX36n1Zb9rw6ar7I5u9mB++kNAfGq/IdPH7Ae6MZy+gYQq5MbbOd7JpsrvriKtQTkszzlzzP1KTmYz5KsrPYtfwrDm74znt315N0K6+hT1Fly5rGnKBonhpxO2WWoxvT4GGedgmP6D/2um9PfTIfDH+TB6b1IS7Yj5MVFv6Xgxm/9SrTaAwM6P8qYWGXYLfbKSwsJC8vj5ycHI4cOeLTRnBwMNdccw3x8aeewtoRR/ZVsm5hls+axGNSh0UyZnYqAaHHA+rhXeWsfGs/Lof3yGRYnD8z7h3gda0QQgghuoaExQuPhMVOIGHx/Nm1/Cu+fevfXmV6o4lrn/gjMT3a35TmZKpHpWFbCY9m5fNprAFUlT/tsTGlxOV1neXqJEKGJ7TZzsNrH+brnK9bvk4JSuGegffQ5GrC5rZhc9loqqvFtjMHz858lHrfaaUA0TVWBuaVoT36O+Hws7Ag7WI+SpqAqmgAlef1/+Ea7Vqv+w5mxfJwwHxGXjGen49PJcTivf6vtRHG5sD4H8LCLvYq3717N0uWLMF5UrDVaDRceumljBo1Co3m7M88dLs87F6Vz7avcnHa3T71OoOGodOSGDQ5AZ2+eWfa8rx6vvrnbhpqvV8/v0ADl93Tn+jkoLPulxBCCCHOnITFC4+ExU4gYfH82v7VF6x573WvMv/QMG7580uYA08/MLgancz7Pp2vDB4sTpUPNzYQ33T851JFxXFFEN3HDmz1/sO1h7nqi6vwqKc+O1HxQEKZH72PBBJT6TsaFmptYmhOCfoTNvQpT0zlt6mzyAuMxoiDBYZnGKjxPsA+f20oi7RjWTB4JtdPH8JtY5MwG45Pzywo+JCMzN953dMcGF8jLOwir/KKigo+/fRTSkpKfPrXo0cPZs2a1WnHbTTU2Nn4eTYZm30fCyAw3MRF16WR1D8cAGu1naX/3kN5Xr3XdVq9hklze9Nj2NltyiOEEEKIMydh8cIjYbETSFg8/7Z88Snff/SOV1nKkOHMevh3Z7Qhi8ujcvv2Q6ywNtCn1s1bmxvRnfCjqaKSM6qei668rNX2H/v+MRYfXnxajxlWY2Di9ggsdu81d/5NdobnFOPnPD7ipup0fNHjIt5OnUKYto4vjY8TodS11LudCrkrwqlp8ufDnpPZOOhS7pvSiznDEtAf3TSmoOADMjKf9HosjcbIwAGvExrqfRSJ0+lk5cqVbNmyxaffAQEBzJ49m+Tk5NN6vu0pPlTD2k8yqci3tlrf96JYxl7bA71Bi9Pu5pt3DnB4p+8xIyOuSGbYZUlnvSmPEEIIIU6fhMULT1eHxbOfzyZ+kkZceQ3DrpjtVXZ4x1Z2LP3ijNrTaRReG9Kdi4L9ORCk5eWjG98co6CQvCmAz954g3pHvc/9dw+8Gz+d75rB9lQGO1g6poQaf+9plVY/Ixt7xFNv1B9/fJeLWemreX3188SUVnCv4wGcqralXqtXib+oGn+libv2L+GpL/7Ep//5H1P/vpZl+5pH7eLjbyYt7Smvx/J47OzecxdVVeu9yvV6PZdddhnXXXedz+Y29fX1vPvuu6xevRqP59SjqR0RkxrMtb8ZzvibemKy6H3q939fxMI/baU8rx69Ucu0u/oxZGo3n+u2LM7hm3cO4HZ3Tr+EEEIIITpLUlLzG9onfmg0GoKCghg5ciQvvPACdru9zfubmpr4y1/+wvDhwwkODsZsNpOcnMy1117L+vXr27zvx0xGFsUZc7tcfPLUI147jmq0Om545i9Ep/oeKdERDS431+3OZnttA39sZf2iCnwfvpMBcyfQL8J7U51tJdtYkLmABmcDJq0Jk86En84Pk9aEUWds+bdJ1/xh1BjZcmQT/8v8lEnbI4iq9g5lWlSGHyoitMH3jMJFKeNwDDDypOl9r/L6QiMF34fC0a1y1sf047V+M5k4fiBPzeyLSa8lP/9dMrOe8bpPozEdHWEc4/NYNTU1fPbZZ+Tn5/vUdevWjauvvprAwMA2X9PTZWtwsmVxDvu+K+Dk/x40WoXRV3Vn4MQEFI1C+oZi1nx4EI/b+8KkAeFMvatvy3pHIYQQQpx7MrLYvqSkJI4cOcLUqVOJjo4GwOVykZ+fz4YNG3C5XIwaNYrVq1f7vFmfk5PDlClTOHToEJGRkYwaNQqj0Uhubi67du3id7/7Hb/97W9be9iz0tUjixIWxVmpKy/jvUfmY29oaCkLiozilj+/hNF8Zuvqap0uZu86xMG6Jp7ea2PaSYHRpoFtln04Zpq5ud8taJTTGyBXVRVbehW1S3NwVTSxJyybl2I/JG2zm26l3uc6qorK0IoGogtKfdrJCoqDMVpmBm3yKi/f50/FvuPhrVFn5JmRP8M5YCj/umkISeEW8vPfITPr9173aTQmBg58g9CQ0T6P5Xa7Wb16NevWrfOps1gs3HHHHYSGhp7W63Aqpbl1rHxzP7XlTT51CX1CmTS3N5YgI0VZ1Sx9dS/2Bu/vU3yvEKbf3V+O1hBCCCHOEwmL7TsWFlevXs348eO96jIzMxk7diwVFRW8+OKLPPDAAy11DQ0NDBw4kOzsbJ544gmeeOIJ9PrjM7EqKyuprKwkLe3MBkva09VhUaahirMSGBHJ1HkPeJXVlpWy4rVX2j0/sD1Beh0fD+xOir+J3w0w8WWsd9gweWBAUz+K1oTwwPIHqbJVdbhtZ2kDFW/to/K9A7gqmkPQgMruvJT5CEGXjeRgovcUV0VV2B5mYffFfeGkdXg9aguJW1nK3lzv6ZgR/az4xx0PWGaXnac2vYV2706ueHkdy/YVk5DwM3r08H73yeOxsXv3nVRXe4dPAK1Wy6WXXsott9zis7lNQ0MDixYt6rQpqcdEJQUy5/Hh9B4T41OXf6CKj3+/hZw9FcT2COGaR4YRGOE9DbjgYDWLX9qNvbHtI0uEEEIIIX4I0tLSmDdvHgBr1qzxqvvDH/5AdnY2t956K88884xXUAQICws7J0Hxh0DCojhrPUaOYdDUGV5lmRu/Z++3y8+4zQiDnq+HpvGL5Gj+PtDMpwnev5SBLriyNISSmhu4Yunf2VS8td32PI1Oar7MpvQfO7Bn1fjUm+1G7tkykxtufZyMvt5rGBUUCmttLJzRHWK8d/s0u+zoNjnJ2RKB54SBtdjRNRgCjockk9vJ0xvfJLEwk7s/2MHvlxwgJnYuPVIf9+6nx8au3XeQX/A+aiu7u3bv3p27776blJQUr/K8vDw2b97c7mtwJgwmHRNv7c3Uu/phNHuHdpvVydJ/7eG7jzKwBBuZ/dAQQmK8g2zJ4VoW/X0nTW0cVyKEEEII8UNxbGrqiUeYORwOXn+9+RSARx99tEv61ZUkLIpOccnNdxCR5B1gVr/zGuV5uWfcpr9Oy8PJMWwe0xfr1AQWdPM+vzDABX/Y6yRQvZLr9lTz8y2f4HSftMbRrWLdWETJ89uwbiiCdgbfPI0uei8J4tm7P6B2YiwexXtk1JKv8upALRUjfN85sh3Wk7MyAnttc6DS6lQSLq1Coz/+gH5uB7/f9AZ9KnN4c10O17+2CX3QDfRIfcy7Hx4bmZlPsWvXz7DZinweKyAggJtvvpnU1FSv8m+//ZaKioq2n+BZSB0ayXW/HUFsj2Cfun1rC1n4p6001Tu46leDiUgM8KqvyLfy+d920FDT9oJxIYQQQoiudmwX+hOnfW7fvp3KykoSEhLo3bs3GzZs4LHHHmPevHk8+eSTbNy4sau6e17ImkXRaaqKCvng0Qdw2o9vCBMaG8/Nz76I3uR7puHpKrM72LwgncH767zKbRr45RA/toTp8PdU8FRaKtfFdcOdXUPNksO4Shtbb1CjgMf3518X4UfE3QP5/Pu3yH7vS3Ru7+mnheFNBBitzFnRgMblfaC9ovUQPayW4OTmaagNVgN5S8I4tuENgEOn45Exd3MwNIlQi4EXrxtEN9MiDh16zrcvugDSevyO6OirfI6jqKur45///KfXrl3x8fHcfvvtaDTn5n0gj0dlx/IjbF2cg+ek106jUxg9qzu9Rsew9F97KM6u9aoPDDdx5S8GExh+ervWCiGEEKJj2lvflt7rx72WsffB9LNuo7U1iy6Xi4KCAt577z2eeuopgoKC2LFjR8sRZa+99hrz5s1j4sSJJCQk8O677/q0e/XVV/P+++/j59f5f+PImkVxwQiNjePSu+71KqsqKuDbt1/tlPYjjQYuv3kAXBTrVW7ywN93NDG23IVVE85Dh2ro/+0ufrMuiwONvjuZtmglKAK4ypuofGc/syfcyczHn8Rt8v41iavww1EfyBPXaygJ9a5T3RqKN4dQtCkYj1PB4u8g8lLvdZAGl4u/bfgn42p2U9XgYO7bW/hfxiX06vUXtFp/77646jmQ/mv27r0Hu8N71DAwMJDp06d7lRUUFJzTd7g0GoVh05OY/euhPmsUPS6V9Z8eYtlrexlzdSrxvUK86usqbHz+tx1UlzQghBBCCNFVJkyY0HJ0hl6vJzk5mSeffJKpU6eyefNmr7Osq6qa98ZYu3Yt7733Hg899BCHDh2iurqaL774gri4OD777DPuvffeth7uR03CouhUfS6aQN9LLvUq27/mG9K/X90p7SuKQvyM7gRO9t5UxuiB53c2Mb60eY55owKFZg1ZARoazuD0Bkd+PZUfHKBXz2Hc+dy/0Yd6T60MrzPSPzuGZ+bo+b6P7wH0tblmclaGY6vRERZuxTbNhEN7vCMal8oT69/ll3WfoKge/vFtFo8sjSet3+cEB4/0aa+8YiWbN0+nrGyZV/nAgQPp2bOnV9mqVasoKys7/Sd9GqKSA7nu8eH0Gh3tU1eYUcP//rod/xAjCX28d2i1Vtv5/G87qCiwntP+CSGEEEK0ZerUqcydO7fl47LLLiMuLo5ly5Yxf/58SkuP74J/bANBl8vFHXfcwV//+le6d+9OcHAwM2fOZNGiRSiKwrvvvsvhw4e76imdMxIWRaebdPvdhMbGe5WtfONfVBUVdtpjBE5KJGhGsleZXoXndtv4244mVq628sLOJmYUubC422jkFOxZNVQtzCQkKpY7nv0XYUlJ3n1o1DNpewwfXWzi35dpsJ90QoSjTk/uygiqD5kZFHSYxtn+fNr/EipMzcdqeJwapq7bzGcNvyNVKWDdoQqu+s9hav1eIKX7b9FojF7tOZ1V7N13L/v3/xKns3mKp6IoXH755V7THtxuN4sWLcLtPsMn3kEGk45Jc/sw5c6+GPy8n7yqwsGNJRQfqiEsznvTm6Z6J4te2EFpjvd0YiGEEEKI8+HRRx/lnXfeafn46quvyMnJ4eGHH2bFihVMnTq15e+ogIDjAwZ33XWXT1vDhg1j6NCheDwen11ULwSyZlGcE+VHcvjo8V/hch7fBTMiKYUbf/88OoOhnTtPj3VTMTWLDp3WPTV62BhtgN6hTM5qRHeK0GIZHUPwzO447TYWv/Asubt3eNU7tR7WDC5HozTxi0VuElrZY8Y/1kb08BoqTUHcb78XU4GDmYfX0acqF53BQ8z4al4LuIJX3TNxosNs0DIp1ca0+NcxcdCnPaMhit69nyUs7BIA9u7dy2effeZ1zcSJE7n44otP67U5U/VVNla9l07BwepW63UGDS6H9+5CeqOWGfcOIC4tpNV7hBBCCHF65JzF9rV3ziI0jyJGRUVRUVHBkiVLmDFjBosXL2bmzJkAlJWVERER4XPfnDlzWLhwIX/84x957LHHfOrPhqxZFBekiG7JjJ/r/e5Lee5hvvvgrU59HP9RMYRc0+OU11UZFD6L1/PzYX5MHe/PE32MPKE0MDXJTaW5/V+Dho3F1K/Kx2DyY9bDv6PPxRO96vVuDZO2R2K0+/PYXC2rBvhOS7UWmTj8dSR+eU18aPgTvbrl89DF9zJ//C9YFj2CI9+Hc2/DIr40PM4AJZtGh5vFB/TMXzmPz7Iux+Xxnktrd5Sya/ftHDz4W1wuK/369fP5j2TNmjVe0yjOpYBQEzMfGMRlPx9AcJTZp/7koAjgtLtZ/PJujuyrPB9dFEIIIYRol0ajIenoTLL09OYNdYYMGdJSX1nZ+t8sx3aj9/f3b7X+x0zCojhnBlw6jbRR47zKdi1fQtaWDZ36OJZh0YRe3/PEDUcBqNTVsCh0I/f32siMsXU829fEljAdbs3xC2sNGn4xwIT95N+Ek9qqW3kE66ZitDod037+ICNmXetVr1EVxu0Jp2deEK9epuXlKzTYvI+GxOPQULQxlNKNQTzs+YTX9S9QHhzMC0Ou58bxT/J0wS2Y6218ZniK6ZrmMxM9qpalOVP4/aaHyK/33tgHoLDov2zeciUORzkzZszAbD4e1DweD59//vk5n456jKIoJA8I5/rfjeCi69IwWnSnvMft9LD01T2UHK495bVCCCGEEOeSx+MhNzcXOB784uLiGDmyeT+Jb7/91uee6upqduxonnU2bFinDur9IEhYFOeMoihMmTefoEjvg+yXv/oP6so7dwMW86BIIu4eiHlIJP4Xx6H/WSJ/HfUx/4l6nyzlfYJKHiG45CnM1tX4Kd7hKT1Iy196e68PRKX5aI0T1HxxiMY95SiKwkU3zGXibfPgpOMshmSGMD27O+v6avj17VoOei/dBKA+34/DSyMYVbKPrwyP0185TJ3Rn/+mTmaC/gV+23gbf9W9ymWaTS33FFjj+MOmX7Hk8BQ8qvdj2my5bN81H7PZxIwZM7zqSkpK+P777zv4KnYOrVbDgAnx3PzMaAZdmoBG6zvSeiKPS2Xpv/dQX9XOzrVCCCGEEOeQy+XiN7/5DRUVFej1eqZNm9ZS9/jjjwPwzDPPsGvXrpZym83GPffcQ21tLUOHDmX06NHnu9vnnKxZFOdcyaFM/vu7h/G4XS1lKUNHcNXDvzunj2tz2Xhyw5MszVnqVa4qeoZ1v59Gy1jWVh8/xuHxfTauKnR6N3LyWYxahfCf9cXUo3mdXebm9Sx9+XncTu/7QvunsaJfIfur93P5VpXrv/Ogb2WALyipkeDBDfxJczMfuC/l2JDmNPdmXrH8kzcjH+WVsgHU246/dslBudzZ7wOiLd6BO6nbfXTv/iALFy5k//79x5+CRsNdd91FTEzMKV+zc6G2vJGN/8sme2d5u9eFxfsz+6EhGEynHpEUQgghhC9Zs9i+Y2sWp06dSnT08R3dKyoq2LVrF4WFhWg0Gl555RXuuecer3t//etf8/zzz2MwGBg5ciRhYWFs2bKFoqIi4uLiWL16NT16nHpp1Onq6jWLEhbFebFtyed89/6bXmU3P/cPopK7n9PHVVWVN/a+wUs7X/KpGxM7hlkDn+YPh6vJbrJjcKu8vqWRvnXH19epgF0LphODnk6DeWAEluFRGLoFUnhwP4v++nvsDd7nB0an9eTboWVsrd1FfLnKvUvcdC/x7aPOz03MyBpWRQzhN847aaB5Z9M7mr7iidD/4r7yVfaGTWX9oQo2ZFewLbca1WNj/uDX6BOWeUJfFYYMehejcRD/+te/aDihP1FRUdx1113odF0XxIqyalj/aRZlR+rbvCZ5YDjT5/VH0bQ/GimEEEIIXxIW23csLJ7MaDQSFxfHuHHjuP/++xk6dGir93/++ee8/PLL7Ny5k8bGRhITE5k5cyaPPvpoqxvfdAYJi51AwuIPn6qq/PeJhyjOymgp6zFyDDN/2bk7RrXlmyPf8Ni6x2hyNXmVJwUm8fcJr7CkxsiLR0oJbnDzwcZGgp3Hfy/q9Ap7gjSMrXCfvJQRXYQflmFRNEXZ+fylP2Ct9N4KNSQ2ju9H17OtaS9at8qsjSpXr/eg893vheDUBhr6m7mXB8hQEwF4oupd7ohbCVf9BwbMAcDmdLPjSDX/WrWVqxIeI9h4fDdXnT6MUSOWcPhwJZ988olX+xdffDETJ3pvznO+qR6VzK2lbFqUjbXa3uo1Q6d1Y9Ssc/smghBCCHEhkrB44enqsChrFsV5oSgKo66+3qssa/MGKvJ93905Fy7tdinvTnuXKLP3+snculzmfn0jEy1lfDeiF/3ig3lsoIkTBxIDnSphDpVfDTKRb/aOi67yJmq/zsXxXjHTBtxFaEScV311USEjVmkZ5eyJW6vw2TgNj8/Vkhfu28eaQxZY4ebj2mcYo9kHwB+Db2ZxxjDU/82D3R8DYNJrGZMazu9nX8zb+3/mtYbR5axk3/5f0KtXGgMGDPBq//vvv6ewsPPOujwTikah58hobnx6FL1GRbd6zfZlR8jY3MoQrBBCCCGEOK8kLIrzJnnQMCKTvEeMtixaeN4ev3dYbz6+/GMGhHuHqDpHHfNWzqPOmsn7/ZP5+SU9+LC3n/e9dR4uLndz3VgLb6YY8BkY9IA218MlftcQYUn0qmqsrqbXShtTD6egdUNOtMKjt2n5fLSC56ShSmeDjpLVQfw95xVGK/vwaLQ8EjOP77f3wrPwbtj1Ucu1yeEWpgy+jC+zp3m1UVOzmZycl5k2bZrXFs6qqrJo0SJcLhddTW/QMvHW3vSf0MoOQMCq99IpyZEdUoUQQgghupKERXHeKIrCqNnXeZUdXL+W6pKi89aHcL9w3pr2FpclX+ZVbnVambdyHvsr9zMtIoj7bxpEXjeL1zWzCp1cVujk3z2MvDE6CFrZ5dOgNXFJ+LXEm3v61MUcdDN7UxKhtXpcOoX/jtfyxM1aaiK9gymqQtVOf/6y51VGqftp1PvxUPLP2bkuCdfH98HOD1sunXdJCgfqZ5NemebVRE7uK9hsO7niiiu8ysvLy1m2bBm1tbV09RR0RaNw0ZweDJ3WzafO41ZZ/NJu2SFVCCGEEKILSVgU51Xq8FGExR8feVNVD1sWfXpe+2DUGnnuoue4q/9dXuX1znr+b8X/sb9iP/46HaNuG4An1PtIjYfT7fSpdfN6oIfse/sSNCMF3UmH0Gs1OkZHzqR30Cifx7bUqly+MZb+hwJRVMiKV5h/i4N9E3wDkzXbxLOb/sM4527KzKH8puc8Dq6Kxv7+/bDj/ebnotPyx6sG8treW6m1B5xwt8q+/Q+SlBTCoEGDvNrdtm0bf//73/nb3/7GRx99xHfffcehQ4dobGw8jVexcyiKwqhZ3Rk1K8WnztHk4n/Pb8dpPz/nRAohhBBCCG+ywY0479LXf8fSl/7a8rVGq+WOf7xOYETkee2Hqqq8vPNlXt/7uld5gCGA16e8Tt+wvjhLGij75y5U5/GJpyUmhccHmCiJMvHt8F6E6bU48utp3FZK4+5y1BPCTVlTPpsrltDoquNkpSE2vh9YidXcPC30rvohTH1jJx6b9zEcugA3fx51E99YhjGmaC9P7HqHbuMqMd/xPAydC8BDC3ezL2cVvxr6TzTK8d/pkOBR9Or1H1599TXq6nz7cLKQkBDi4uJaPqKjozEYDB14Nc/e3jUFrP0406c8PN6fOY8Nlx1ShRBCiFOQDW4uPF29wY2ERXHeeTxu3vnlPVQXH59+OnDKDC6945527jo32gqMgYZAXp/yOn3C+tC4u4yq/2b43Ls+XMuOYaE8d0lPFKU5yHgcbpr2VtCwrQRHTnM4c3rs7Kj8hlzrPp82nFoPW/pUkxVvBQVuNV7CrJc346q0el2nMXj498irWBR2EbOz1vB/6YuJGVFD0H3PwrDbqGpwMOlva7go+kuuTP3a697kpPtR1cv54IMPTnvqqUajYdCgQVx++eVoNOd+IkL6xiJWvXvQpzyuZwizHhx8zh9fCCGE+DGTsHjh6eqwKNNQxXmn0WgZceW1XmX7Vq/AWlV53vuiKArzB8/njn53eJXXOeq4a8VdpFemYx4Yif/YWJ97x1a4mb+snO2v78JZ2nymocagxTI0ish5A4m4ewCKQYteY2RkxAzGRl6FUeO9PlHv1jB2bxgTt0dgsmt4z/4dC387EVOy91k9HoeGeesX8bO8r/hfj/EsThxD0aYQKv78W9QtrxNqMfCby3qz+PDUVtYvvkxISAl33HEHI0eOJCEhocPnLXo8Hnbs2MHWrVs7dP3Z6j06lktv8/0PsTCjmqX/2tPl6yyFEEIIIX5KZGRRdAm3y8Vbv/g/6srLWsqGzpjF+Fvv7JL+qKrKizte5K19b3mVBxmDeGPKG/QMSqN6YSaNu8pbvx+wDI4k8NJEdGHHA6H9cC0Vb+9rmcba5LKyrWIZRU3ZPm00Gdxs7FdJXnQTQ4MH8PiCclzb832u+zZtCH/vNYcnN73D8LKDBHZrJPKmaeiuf4Hr3t7DwcJcnhr9Z4KM9S33GAzhjBi+BKOxOYS63W7KysooKiqisLCQwsJCysrK2gxjFouFBx544LxNSU3fWMyqd9N9yrsPiWDqnf1kSqoQQgjRChlZvPB09ciihEXRZXavXMo3b/yr5Wud0chdr7yFOTCoS/qjqip/3/533t7/tld5kDGIN6e8Sc/QntgP11K27DBKnrX1RjQKlmFRBExKRBfUvDmO7VA1Fe8cAJen5XEOW3ezq3YNLqfvwfSZ8VY2963Cz2jmb5uDCFmR53PNntgUnu1/M3/c+DopdcWgqAT1MuD4+R+YvEZHatBBfjn0X97rF0NGM3jQuyiKttWuOxwOSkpKWsLjwYMHvY7ZmDhxIhdffHH7L2In2rsmn7UfZ/mUpw6NZMqdfVum/gohhBCimYTFC09Xh0WZhiq6TN9LLsU/JLTla5fdzvavFnVZfxRF4cGhD/Kzvj/zKq+113LnijvJqMrAmBJE/D2DODQ7iQOBrfz6eFQatpRQ8tet1CzOxm11YEoNIfyW3i1HbSiKQveAQUyJnktUXHefJtIK/Jm+KQqP1ca8oUV8PycKRev9ps6AosP8ZfO/eXHQtVSaAkFVqE130jT/YT7Z9yKubD8WH57qdU919UZycv/Z5vM3GAwkJiYyevRorrnmGkaN8t7Ndf369ed1x9T+4xMYPiPJp/zQ9jI2LvIdmRVCCCGEEJ1LwqLoMjqDgWFXXO1Vtmv5EmzWNkbtzgNFUfjl0F9ya59bvcpr7DXcteIuMqszURSF8SMSWDk7gYcGmcj2b+XXyKViXV9EyV+2UrcmH2NaCGE39YYTpk8G6EK42DibkROuRqP1Hu0LrzVy+fpowmsMvNy9khdv9Uc1ebyuSagp55ktb/Lv/rNYkTicRp0RUPDLyOel715i7Ps55Jd4H3qfk/MSVVUbOvRajB07FpPJ1PK13W5n/fr1Hbq3s4y4IoVeo2N8yncuz+PgpuLz2hchhBBCiJ8aCYuiSw2YNBW/E6adOpqa2LlscRf2qDkwPjTsIW7ufbNXebW9mjuX30lWdfPUyKd7xFOcEsANY8z8tr+JfD/faZGqw0Pdslys3xfi1yeM0Bt6ev3WaVQNSfk9uPqO3xEa6x3szHYd0zdFk1JoYX20nftvN9AQ6n3mYLCtgV/v+Ih1sQO4cdqTPD/kenaFp+JBYUBZDsNeLMVjPTGIquzbfz/FxZ+hqu2fX+jn58fYsWO9yjZv3kx9fX0bd5wbE27pRXzPEJ/yb99Npyir5rz2RQghhBDip0TCouhSepOJoTNmeZXtWPoFjqbzf0D8iRRF4eHhD7ceGFc0B0azVsOrfbph0GpYFqvnmnEW/tDHSJWf769V3bd5uOsdmPtHEDqnJ5yYK90qmlVNXH3b70gZMtzrPq1H4eLd4Qw9GExZINzzMwPZyd4jjEa3i6c2v8VFRbv4NnEYvxl3N7dNeYx3e0+jxB1BxJsKnHCL01nNgfSH2bL1Siqr1rX7OowcORJ/f/+Wr10uF999990pXr3OpdEoTL+nP4Hh3jvJosKSV3ZTU9a1PytCCCGEEBcqCYuiyw2aMgOT5XggsTVY2bViaRf2qNmxwHhT75u8yqtsVdyx/A4yqjLo7e/H06lxALg1CosSDFw+1szGUWEoxuMjeqrdTd3KIwCYB0UScnUP7wdzq9QtyGHq7PkMv/Ian770PxzExG0RuDUaHpujZ8VJS5c1qsqvdizgvqzPQFUpM4fwcc9LuXPyozwWOZ/Ny8bQ6DR53WO1prNr11x27voZ9Vbfsw2heR3jyZva7Nixg6qqqrZfuHPAYNJx5YOD0Ju8p+s67W6+eHEntgbnee2PEEIIIcRPgYRF0eWMZjODp8/0Ktv+1SKcdlsX9eg4RVF4ZPgj3NDrBq/yYyOMB6sOcmtsGDMiTphKq1WYH+SgdEyU1z0NW0twFDWvx7QMiyb4qlTvB3N5qH4/nZFjruKy+36FVq/3qk4oNzNjYzT+TXremKzjjSkaVLw3vpmxfyPv7P8TIWpdS9mBsGRe013PL1f9gdd23Up+vfeZkVVV37Nly+UcSH8Em73E5zUYMmQIwcHBLV97PB7WrFnT+gt2DgWG+XHFfQNRTvpfy1pl56t/7sbt8rR+oxBCCCEEkJSUhKIoLR8ajYbAwEASEhK49NJL+c1vfsOePXvavP/Yfbm5ueev011MwqL4QRg8/QoMfsenGTbW1rD32+Vd2KPjFEXhNyN+4xMYa+w13LniTtKr0vlbzwTijN7h7ja/Rgg7YTRPhdqvDrecZeg/MobgK1K87lEdHire3k/37sO57qnnsJywWyxAsNXA5RuiiakwsWKohheu0uI6aafUqEPV/G/HE9zMCjQnzD91KgY2lw3j9xsfYl9Fr5OepUpx8ads3DiJ7OzncbmOr0vU6XRMmDDB6+o9e/ZQWlra9ot2jsSkBjPh5pP7DiWH61j9/sE2z4kUQgghhDhm6tSpzJ07l1tvvZVp06aRmprKtm3beO655xg4cCAzZ86kpMT3DfSfIgmL4gfBzz+AQVNmeJVt/fIzXM4fxvTCY4Hx5DWMx47VKKzN4N99unn9QpW63bzRx3udnT27Flv68Smc/mPjCLos2esa1e6m8t39REYlc9OfXiAqxXvKqtGpZfLWSHrlBrC5p4Y/XKfFZvAOSbZ8PXdtXMwXyuMMUTK96tzoeG3Lz6jeH+HzPD0eG7lH/s2GjRPJL3gfj6f59e/fvz8REd7Xr1q1qpVX6tzrPSaWgZMSfMozNpewY/mRLuiREEIIIX5MHn30Ud555x3eeecdFixYwOrVq6mqqmLRokWkpKSwePFiLrnkEiorK7u6q11OwqL4wRg6YxY6g7Hla2t1FfvXfNOFPfJ2bA3j3D5zvcrrHfXcteIuTM7DPJQc7VX3qp+TsjizV1nt0hzUE6ZMBlwcT+Dkbl7XuGsdVLx3AP+AEK57+jl6jb3Eq16jKow6EMrofaEcTNDwxM06Gize/W0sNWJZ08AC9Rn+pX+RcGpb6hp0Zv6Rfhemf1vQFfvu4up0VpGZ+RSbt0ynqmo9Go2GSZMmeV2TkZFBfn5+G6/WuTXm6lQSevvukLpp0WEObS/rgh4JIYQQ4sdMo9Fw5ZVXsm3bNlJTU8nMzORXv/pVV3ery0lYFD8Y5qBgBlw6zatsyxef4na5uqhHvhRF4VfDfsVt/W7zKq931jNv5Twu8SthTLD/iTfwYBKoJ+QxV0UT1o3eZwQGTkrEf4z3WkJnfj1Vn2ah0xu4bP5DjLthLijewa5nfgBTtkRRGKbh4Vu11IcbvOrt1QZyV4ZzaeN21hvv5zbt12hpPjIjPzCal803EfZHPUEfatG5TkqbQGNjDrt230FNzTZ69uxJfLz38R7ffvttl0z91GgUps3rT1Ckn0/dirf2U5pT18pdQgghhBDtCwkJ4cUXXwTggw8++MlPR5WwKH5Qhl1xFVqdruXruvJSDq4/v0c1nIqiKDw45EHu6n+XV7nVaeXn38zjnsh6QvXHd+3M8NfyeZz3esa6b/Nwn7SDZ9CMFIxp3qNlTbvLqf82D0VRGDnrWmb9+rfoTd4BKbrKxPidEVQEKvziJjf1Kd7TRZ0NOnK/CcdTDU/q3+czw1ME0gDApph+fNhzKpb1WsJ/7SCiYDAajXf7quokI/NJVNXtM7qYm5tLdnb2qV6yc8Jg0jHz/kEY/HRe5apbZfEru6iv6voNkoQQQgjx43PZZZcRGhqK2+1m9erVXd2dLqU79SVCnD8BoeH0mzCF3SuPH52x+fMF9L5oPBqNtp07zy9FUZg/eD4aRcN/9vynpbzR1cjja+Zx74h/8/uC4/19NdXAlGIn/s2Deqg2F3XfHCHkyuM7oipahbAbe1H2r124yppayuu+yUMXacY8IILuQ0dy4x+eZ9Fff09t6fF3uuLL/Ri9P5QN/ar4+VVV/GdNT8zbM1rq3XYteavCiBtXzaDobJ7Vv869zgcAhf/2nExybTEXFe1B86f9pFxzKY03+lNUsqDlfqv1IIWFH5KcPJeUlBQOHz7cUvftt9/SvXt3FMV3Ouu5Fhjux4x7B7DohR2oJ2yGam9w8eVLO7n2keE+YVIIIYT4Kfrn3V2z10BnuffVieftsRRFYfDgwXz77bfs37//vD3uD5GMLIofnOEzr0ajPR60qosLObD2h/eujqIo3Df4Pn4+8Ode5U2uJt7dcg+/inVh1jb/ilUZNbzV3XuKaMPmYpylDV5lGpOO8Ll90Zi9A07Vgkwc+c07lIYndOOmP75AVIr30Rtp+QH0zw7EblCYNzkX55SxXvUel4b8taHU5voxQ7uFa7XHR2z/NuR6DgfGAND46TdYXqggKuxyr/sP5/wdu6PCZ3SxuLiY9PT0tl+ocyy2jR1Sa0qa+Pq1fXjccqSGEEIIIU7PsY39fuqb3EhYFD84QZFR9L7I+6iGla+9wqGtm7qoR+27Z9A93DfoPq+yJlcTC7bew18Tm+jr33x8xn+7GSjwO2H0zQPlSw5zMl2YH2E39wHtiQsdPVS8dwBXrR0Av4BArnrkSQIjIr3uHZoZQkqhBbvi5u6R+9HcfLV34x6Fok0hFG0O5kn1XVKUIgDsOgNPj7qNWkPzZjwN69Zh/HseWs3xdYwuVz3Z2X8lLi6O3r17ezW7atUq3G53B16tc6OtHVIL0qv4/pNMOVJDCCGEEKfF42l+s1mj+WnHpZ/2sxc/WCNnXes1uuhxu1j892fJ3Ly+C3vVtnkD5/HAkAe8ymxuG8+uu5cnoqu4Iy4cp0bhpTSj1zWerBq2bSv0ac+YEkTILO+RQ0+9g8p39+NxNIcyS3AIsx99GqPFe2OasXvCiK40Uu+ycl+vzZh/5R1kAWpzzBQvC+Klqpcw0Lx2sswcyp+G34rr6Kn3rk0HCfzWeyfX4uJPqa3dwcSJE72mnVZUVLR7iO35MObqVBL7hvqU71tbxK5vumbXViGEEEL8OFVUVAAQGur7t8VPiXIhvOM+bNgwddu2bV3dDdHJ9q5awYr/vORVpmg0XDb/IXqNubiLetW+d/a9w9+2/82rzKAx8I+J/8Bq6M8v0o/w541WhlYfH4U7bNGw8YZkfpUSg07jve6vZulhrGu9w6Rf3zBCb+qNcvTa/AN7+eyPT3jtGmvXuVk6upTaACe9Q3vziuc6Kn/7NLRybmVhagT39noQu655muwVh9fz8z2fA6BqVCp+B87I4/cFBPRl+LDP+eKLxezataulPCgoiPnz56PTdd0aQUeTi4XPbaOmtNGnbsqdfekxLKoLeiWEEEKcH+np6T6zf8RxSUlJHDlyhNWrVzN+/Pg2r1NVlbCwMKqrq/nkk0+YM2cOQMsb5Tk5OSQlJZ2HHp/e91RRlO2qqg7rzMeXkUXxg9V/4hSm3H2/13ERqsfD0pee58D3P7w1jAA/6/czfj3s115lDo+D+1fdj9m+m29G9GLl0GBOXEWX0uAhf30Bs3cdosDm8Lo3aFoypt7e72g17a+kbuXxw+cT+vRn6j2/8LrG6NIyeVskfnYN6VXp/M6ykvgP38PQPcWnz3GHynlzzbP0qsoFYHHKWL7uNhIAxaMQ+JH3G0r19fspLPqE8ePHoz1h9Le2tpauftPG4Kfj8vsGtrqpzcq391OUVd0FvRJCCCHEj8lXX31FdXU1Op2u3VD5UyBhUfyg9Z8whek/fxBFOf6jqqoevv7nC+xb800X9qxtt/a9lUdHPOpV5vQ4eWD1Axwq38CLE3uTkxbgVX/3IQcHKqxM2prB0vKalnJFoxB6fU/00d5TTetX59Ow8/jh873HjWfc9bd6XePfpGPS1kh0LoX1hev5m3URSZ9+SugtN/j0Ocxaz9/W/pOf7V+K3u3iXwOvYn9oEgDGTA2mbd7/VWRnP4/Z7GHYMO83r9auXYvdbm//BTrHgiL8uOye/icfSYnqhq/+tYeq4obWbxRCCCHET151dTUPPvggAHPnziUyMvIUd1zYJCyKH7w+F09k+vxfoZy4wFhVWf7qP9jz7fKu61g7bup9E4+NfMyrzOVx8eCaB/muYBXjrumNR3/8+QQ7Ve7MtlPrcnPHvlxWVNS21GmMOsLm9kHj731WY/WnmdiPHD98fsSsaxkwaZrXNeF1Ri7ZGY7igc+yPuONzPeIevx3dHv+EfT+Lq9rNahcl7WKf3z3DxLrSvnD6LmU+wUBEPQ/LcoJxxa6XLVkH36eiy66CL3+eL8aGxvZtKnrNyKKSwth9OxUn3JHk5slL++mobZrA60QQgghflg8Hg9ffvklw4cP59ChQ/Tq1Yu//vWvXd2tLidrFsWPRsbGdSx9+a94Ttp1c9IdP2fQlMu6qFftW5CxgN9v+r1XmU7R8ZdL/sLIQz29ppM6FZgz1kK+RUOkQcfaEb0I1h+fTmk/Ukf563vAdfx3VmPRE3nfIHQhzTuuetxuFv319+Ts9P59OJhYz6a+VaDAH8f9kZndZ+L5+mlK//kmNYe8Ry0BXIqGD3tNYXtUGn/5/t+Y3E7qJ7upv+rE115h+LD/sW1bBWvXrm0pNRqN3H///Vgsvu2eT6qqsuy1fRzeWe5TF5EYwKxfDsZgkjMYhRBCXDhkzWL7jq1ZnDp1KtHR0QDYbDbKy8vZsWMHNTU1AMyaNYv//Oc/PqOKx9YsDho0CKPRe9PCE3XmG+ddvWZRwqL4UcnasoElL/4Fj9t7VGzCz/6PIdNndlGv2vdZ5mc8vfFpVI7/rmkVLX8Z/Wf6fxqC+4RRrtWROn492A+A66JD+UfvRK+2GneWUfVJhleZPtpM+F0D0FqaR/gctiY+efJRynKzva7b1rOafd3rUFC4qfdN3DfgbiwfXot1yy6KtwTjatJysozgBL6LH8hd+5aAVqX8cSeu6OP1gQED6NfvQ1566WWamppayocOHcoVV1xxmq9U53M0uVjw7FZqy5p86hL7hjHj5/3RaGWChRBCiAuDhMX2HQuLxyiKgsViITg4mJ49ezJixAhuvPFG+vXr1+r9yslrXNrQmfmqq8Oi/JUkflR6jBjDzF/9Bu1JO26ufuc1ti3+Xxf1qn1Xp13N02OeRuH4fzBu1c3DGx8hZ2jt/7N33+FRVesCh397Wia9J4SEkEBC7733JohgRVAPYC/oVVGP/dgrdsWuYEFRkaIgvUjvoSUB0nvvddq+f0QyWWm0hCLrfZ481/3ttfasmXMZ+LLKJ7QdmWWhd25VIrw4I4+NuUXCfaeefriOFOsJmjPKyP70EJacqoTIYHTk2v8+j6uPr9Cuz3FPQtOcUFH5IeoHpv55A5sH3YlLiJE2V2XhHlL3BNH2BcncEr2e9a16oVgV3H4RP/ei4sPk5f/BkCFDhPj+/ftJTa1bEuRCMzjquOqerugMdb/qko7lsmXRcVmDUZIkSZKuEAkJCaiqWv1js9koLi4mOTmZ9evX89prrzWYKAJC38Z+/k1ksihddtr27s+Ux55Fqxf38G354Rt2L/v1Io2qcdeGX8srQ16pkzDel/4YpX7iLOmjxytxM1V90Tx2PJlii7js1m1saxy7eAsxS045WfMjqvcwunh5c92TL+DgJC4FHXLYB7+8qmUTGaUZPLjnZeZ2Gkieo0LLAQUEDs5D6yC+nrOlgvb5KRzxCsEYrcF4QPytWmzs2/Tq1R5vb3FMq1atqi5oezF5B7ow4pYO9d6L3J7O/r8SLuyAJEmSJEmSLhMyWZQuS6E9+zD1iefR6Q1CfNtPC9m55KeLNKrGXdP2Gl4b+hqaGie72rDxrNN7Qrv2xTZWbSnh2aMVuGZX8HJsmnBf0Sh43tQehzbuQtxWZiH7y8OUHanao+fTqjXXzH0ajdY+G6i1KYze74tLmT22tiCSKcGt+dXVGZdWFbS5KhvXIHHZZnBJFvmObuQ4uOK2RIdSo8KH2ZxPYtJHXHXVVUKf1NRUDh48eBafUPNp378FXYcH1ntv94p4onemX+ARSZIkSZIkXfpksihdtkK69eTaJ19AV2uD8Y5ffmTzd1+iXgKzWrVd3eZq3hj6BlrFvj8w2jGezW57hXZGG0xNNfPjzjKGL03i4PYkVIv9/WgMWnxu74JTz1rHOVtU8n6MpvjvFFRVJbhLd8bf+5DQxMGsZehhH2psoaQYKy/5eDM7wI8kVw2Bg/NxbWMW+g1LPcyG0D6oBTpcVov7G1NTF+HvX1lnTf369espK6u7vPViGHxDOP6hbvXe2/R9NMmReRd4RJIkSZIkSZc2mSxKl7XgLt24/skX0TsYhfj+lcv54703MJsuvRIJV4VexZvD3hQSxi/9fifFkFlv++4FNnz/SCTtjT0Urk3A8s+BOIpOg+dN7XAdHVynT+GqeAqWx6JaVToNG8Xgm24V7vvnOTAqK7xOvwNGI9cHBvCppzs+vXJQPMSkcOqJrSxpPwyX9Rq0WTXv2Niy90lGjh6DrsZ+0vLycjZu3Hi6j+SC0Oo1jL+rC0ZnfZ17NpvKX18cISel+CKMTJIkSZIk6dIkk0XpshfUqQvXP/MyBkdHIX5yzw5+felpygoLLs7AGjE+ZDzzhs9Dp1QlVnn6Qh4JeYtvfZdT6Wypt49aYqZ4YzIZb+4h94dIKmILAHAf2xrPG8JBI+4lLN2VTu73kdgqrfS/bhoh3XsJ90MPqzwacg+OOvFzsygKn3q6c2PrFpSOyMWms39NONgsDE45ypYWPXCvddiNI5G89senhHYRD+Hat28faWniUtqLxdXLyLg7OkM9h5mZK6pqMBbnVdS9KUmSJEmSdAWSyaL0rxDYviM3/e8NnD29hHj6yeMseu4x8tIu/smctY1pPYZ3RryDTlOVdJVoy/nFZw3XtXqYhHHlpLQ01t/RBuVHc8n58giZ7x2g7EgOzn1a4DO7M4qDOBNYEZ1H9heHsRWbGXfvQzjUqH1oNZvRr47h90m/MTRwaJ2XSTDomdXRhwPDxeSpVUk2CpCaEojxkJh1DW/xK28eKMLgJC73vFQOuwFo1cmL/pND671XWmjiz48PUVFirve+JEmSJEnSlUQmi9K/hn9oW2a88g4+rVoL8cLMDH567jFSoo5epJE1bFTwKN4f8T56jX1ppE2x8XDa0+huduTBUR78HKynpG4JRAAsWWXk/RhF6d4MjOGe+N3XHa27uIfTnFpC1vwIjGZHRt9+n3AvMy6GpHXb+GT0J7w9/G28jeKJpgBv9XMisYM42zk85RDbgruhLHOFGofduDmUMCl0NSsL/IX2KSkpHDp06Ew+kgui94QQWnep+14B8tJKWfFhBJXl9c/wSpIkSZIkXSlksij9q7j5+HLzS28R3LWHEK8oKea3V54lesffF2dgjRjeajjvjxQTxkprJf/d8n/c0dWTeR2NTBzhwusdHYh1qf+PbP7yWEzppehbOOP3QHf0LcWSGdaCSrI+PUSIf3fa9R8s3Nu9dDGZcTFMCJnA8qnLuT78+jrPf+ZqB8o9xZIa0yM38HPQeJzXistRR7f6G71LIUlWDyG+bt06ysvFU1YvFkWjMGZ2J1y965+9zU4q5s+PDmGutNZ7X5IkSZIk6Uogk0XpX8fByZnrnnyBziPGCHGrxcLKD95iz/LfLrmCqcOChvG/gf8TYlllWSw68AS3BHhQplNYEmxg2iAn7u3rSEUHD/FPr8VG3o9R2CosaN0c8L2nO8b2nsLz1Aorud8eY2DfG3Fy96iO26xW/vrkXcymStwd3Hlh0At8O/5b/PT2paQmvcLTN+ix6eyfm8FmYXL0dlYnjUKbY38dRaMyp/NXHFL9sKj2ZaplZWVs2rTpvD6npmR01jPh7i5odfV/DWbEFbLq08NYzDJhlCRJkiTpyiSTRelfSavTMf7e/6tzCijA1kULWP/lJ9isl1YSMCVsCv/p9B8hdiTnCGR9TUuHf2YdFYV9Xjru6KTH9XrxNFNLTjn5v59EVVU0Dlq8/9MZ5/4txBexqVSsTGdwjxuFcF5qMtt//r76uk+LPnwy4WuctPaZt1QfDV9MEL8ygkpzaJFfwMmVnYW4p2shN4T/zmFLSyG+d+9e0tMvnZqGfq3dGHZzuwbvp0Tns+aLo1gtl8Z+S0mSJEmSpAtJJovSv5aiKAy4/maumjNXKEwPcHjDapa+9RKm8kujBuApj/Z+lMGB4jLRtfHLGGeMEmLHSyv4zFPFua+YDJYfzqF0V1UypmgVPKaG4X5VSJ3X8Uryom0L8XTU/auWkxx5pPq6g1cH5o14VyjxsbGrlq3dxGcNT40gqrwDRZvFmo/9Wh3E2SeFIpt9D6WqqpfUYTcAHQcH0GFAiwbvJxzJZd03kdhsl9ZstCRJkiRJUnOTyaL0r9dp6EhueOYl4SRQgISI/fz8wpMU5+U00PPC02q0vDXsLULcQoT4qiMvMcLVJMQ+SsokdWQA+gDxfRX8GYcpuapeoKIouA5vhdeMDqATTy7t7jAMpxpLTVFVVs9/X0ighwYN5en+Twv9PhunJd1XTJxmHv2LZSkTsaaIh+vM6vAzJ3SuQiw5OZnDhw838AlceIqiMPjGcIwudesvnhJ7IItN30WhyoRRkiRJkqQriEwWpStCq87dmP7S27j5irNf2QlxLHr20iqt4WZw46NRH+FqsCdZKiqxJ5/Eu0bCZ1Hh4dhU3KZ3EEtmWFVyF0VhK7OXf3Dq5ovfvd3RetiTOb3GgX7eE4XXLsrOZPP3Xwuxm9rfxOwus6uvzXqFN67VYdKL+xdnH1rFkm1TUWvktDoHC9PbLSLZJpbS+GvN2kvmsBuo2r848Nq2jbaJ3pXB34tPXHL7XSVJkiRJkpqLTBalK4Z3UDAzXnkH/zbiXr+S3ByWvPYcJXm5F2lkdYW4hzBv2Dw0iv2PaIUpG/eChUK7oyXlfF5WhGet/YvW/EryfhUTG0OQK/4P9RQOvvF3bE24W2+h75ENa4g7sFeIPdzrYca1Hld9ne6tMH+iWM/Dv7SA0bGH2LlarNnYwi+ToIAIrDUOu6ksL2PxitWNfgYXWseBAfiHikmtohFnY49uSWXn77EyYZQkSZIk6Yogk0XpiuLs4cm0/71O2z79hXhRdhZLXnueipKSizSyugYFDuLxPo8LseK8dbS0nhBi7yRk8neAAZdB4mEyFVF5lGwVZ0w1Tnq8Z3bGbWxr+CcP6uY5HFe9l9Bu7ecfUl5cZO+naHh1yKt09+1eHdvRScPanmIy1TU1jpbppWQeCBTiw9ptJ99ZXEYbF3mIZTsiG3r7F5yiUaoOu6nxllSbit5BTIoPrkti36qECzs4SZIkSZLOW0hICIqinPZn8+bNDBkyBEVRePHFF8/o2ZMmTUJRFB599NFmfhcXlkwWpSuO3mjkmrlP1ymtkZOcyLK3X8JsqrxII6vrlo63cF34dUKsMv09HLGP0ayqzDoaz9edHNEHuQhtC1fHU5lQKMQUjYLb6GB8ZndB46RDp9HT33cSSo0sqbQgnw1ffyr0M+qMfDjqQ1q5tqqOLRyjId5fHPOgI0coPtQSJb/mi8KUjsuo0Nhn5DQKrFm9isV7ks7os7gQ/Fq70WmImHTbbCoOjuIBSXv+iOfguktn3JIkSZIknbnx48czc+bMBn9atGjB7bffDsCCBQtOu6IoPT2dNWvWAFT3+7eQyaJ0RdJotIy7+0Ha9hkgxFOjI/nz/TcvmbIaiqLwTP9n6OnXszqmsZWgz/68Ttu3k7N4rbczSs3ExgZ5i6KxlpjqtDe288TvwZ7og1zwdmhJRw/xszi+cyvRW7cIMS+jF/NHz8fdwR0As07h3alaygw1GtkUhu2PoOCXEKGvxrmCQR13AvYvXH9NCZ8v28R3OxMa/yAuoIFT2uLgbP8MrWYbfiGuGGoljDuWxHD070tnr6skSZIkSWfmySefZMGCBQ3+dOjQgZtuugkXFxcSEhLYvHlzo8/7/vvvsVqt9O3bly5dulyYN3GBnHWyqCjKDEVRtiqKUqgoSomiKPsURXlAUZRzeVaQoigfKYpyXFGUckVRKhRFOakoymeKorQ52+dJ0tnQaLVM+r/HCewg1giM27+HdV9+fMnsSzNoDbw34j0CnAOqYw7le3HL+w4t4hgXV5TxZncnIWYtMpH3y4l6T/LUeRrxu7c7zgMC6OQxGA+DOE247rOPKYhLE2Ih7iF8MPID9Jqq00MzvRQ+nVTrj79Nof2RNJwXGYSws3csrUPEOot99cm8u2Iv32yLb+RTuHCMLnoGTBEPu0mOyqf/NaHoai1J3bLoONG7Lp26kZIkSZIkNQ0XFxduvLGqLvWCBQsabXvq/r9tVhHOMllUFOUT4EegD7AVWAe0Az4GflMURdtI99rP6gkcAeYATsAaYDXgCNwDHFIUZdDZjE+Szpbe4MDUJ57DJzhEiB/dtI5tPy2sv9NF4O3ozYejPsRR51gdcyhZR0DeB3jWKonxi7vKT23EJK3yRD7Fm5Lrfbai0+A5NQyfaR0ZEDAZDfY/xiZLOatefZOKJHEpa2//3rwy+JXq690dNHwxQfw60djAdYeC80YxHhywESfn4uprR8XCJEMUC1Zt44u/Yxv7GC6YTkNa4hsslvw4uiWVq+7pilYvvp+N30WTcOTSKb8iSZIkSVLTOJX8/fbbbxQXF9fbZteuXURFReHo6Mj06dMv5PAuiDNOFhVFuR64H8gAuqmqerWqqtcC4UAUcC1Vid+Z+gTwAL4E2qiqOlVV1alAKPAN4AJ82mBvSWoiRmcXrn/qRdx8xVm1Pct/Y//K5RdpVHV18OrAq0NeFWKVJfsJzX+XLi5ifcP32xo46CH+7qZofSIVMQUNPt+5lz/tHh1L96CRQjy9JJbfX3ieougMIT6xzUQe6vlQ9fX6nvUljCpuS3QYD9RIaPUqPcI2oij2pb56xcYoQyyr1m7g440nGxzjhaI5ddhNDfkZZeSmljDh7i5otPb3o9pU1nxxlIy4wtqPkSRJkiTpMjZkyBDatWtHWVkZv/76a71tvv32WwCuu+463N3dL+TwLgjlTJfaKYqyD+gNzFRV9bta94YDm6lKJANVVbWd5llG4FSRtQBVVTNq3W8JnNoM5KyqahmN6NOnj7pv374zeh+S1JC8tFR+fv5x4RRQgIlz5tJx6MgGel14n0Z8yvxD84XY2NZXY/K7l98y7afK+FbY+HFnGV6mGofKuOjxf6gXWjdx5rEmS1klP82dS1ZeghB3NXhxzZynaNG/Y3VMVVVe2PkCv5/8vTo25qCNu1eLXwGqRiXvHguVXe1jqcjozN4Tveq8fqLVgx5Dx/F/4zo1OMYLZcN3UUTvsC8z1TtoueXFAaTHFrLmq6M1t1/i4Kzjusd64xXgfBFGKkmSJEkQFRVFx44d6733zrSrL/BomtbcxX+e9zNCQkJITExk06ZNjBgx4oz6vPHGGzz11FMMGTKErVu3CvfKy8sJCAigsLCQDRs2MGrUqPMeY22N/W9am6Io+1VV7dOUr39GM4uKogRRlSiagDpptaqqW6hK7loAA2rfr4cVsJx6fD33T/0TrBR7UilJzcqrZSDXPfUiegejEF/96fvER+y/SKOq657u9zC29Vghti7xTwawjZfDAjk16ZVt1PBcVyM10zZbiZncHyIxZzX8+xedkwOTX3gGJyfxt2PFpjx+ef85Tqz6uzqmKArPDniWgQEDq2Pre2r4drz4x1qxKXh9rsPhiD1ubHGMUd2g9nbn1toC4rb9wbw/Dlz0faMDp7YVDrYxV1rZ8XsMYb39GD69vdC2stTCHx9GUJJfcaGHKUmSJEnSWRg5cmSDZTM8PDyEtjNnzkSr1bJt2zZiYmKEe0uXLqWwsJCQkBBGjrx0Jhaa0pkuQz11FOMxVVUbSt721mrbIFVVzcCGfy5fVBRFf+reP/99ajPU1+rF/teidEVp0Tacax57Bo3WniDYrFZWvPsa6SePX8SR2WkUDa8MfoVwz3Ah/s6+efR1SGVx97Z46auWoO720fFVW3EW0ZRUTOZ7+8n5PpLKJHEW9RQP/wBunfcBvr6thbjZVsGfC99m1zeLqhM5vUbP28PfxsPBo7rdX720/D3SIvRVbApeX4gJo1X7PdOvHoyhVoLuqSknZ99K3vjl74uaMDq5Geh/TagQO7Enk7ST+XQZFkifSSHCvZL8Sv746BAVpeYLOEpJkiRJks5GY6UzZsyYIbQNCAhgwoQJQN2Dbk4tQZ09ezaKUt/81+XvTJPFU/9aSmykzamiY6GNtKnpfuAkcBcQpyjKUkVRlgLxwM3AB8BjZ/gsSWoyId16ctUDj0CNP/SWykp+f/NFclPrPyTmQnPSO/HeiPdw0dvrKlpUC3O3zKWj0cTq3u3o7FKVgH3V1sBur1pnT6lQcSyX7PmHyP7iMBUn8uskZa7ePkx/913C2vWv1VVl+5pFrHztTSzmqqTI3cGdR3o/IrT7eICR4kGlQkyxKnh9aU8Yba6QG/EA9955B25ePkJbo2KlPHITr3y7Aput0ZXtzarLsEC8A8X6lX//fAKb1Ua/q0PpNFSsy5iXVsqqTw9jMV0a5VckSZIkSRI1Vjpj/vz5ddqfOujmu+++q/43SVJSEhs3bkSj0TBr1qwLOfwL6oz2LCqK8jTwKvCjqqq3NtDmVeBp4AtVVe85oxdXFB/gO+CqWrf2Aa+rqvp73V7Vfe8G7gYIDg7unZjYWB4rSWfvwF9/sGmBWM/Q1duX6S+/jau3TwO9LqwNiRt4ePPDQqx/i/58PvZzKlWFR6OTWJZVgGeljfcPlNO5qOGkS9/SGdcRrXDs4oOiqXGAi6qy/eMF7N62pE4f/5ZtufZ/L+Ds4YlNtXHbqts4nHO4+n4rs5mFWwrJ2esh9FN1Knl32fcwhhzrQat7fmLBT7+SFl/PATfeoTxz7wz0en3dexdA2skClr5zQIgNuSmc7qNaYbOprP78CPGHxBNRQ7v7/HMYjixnK0mSJF0YZ7O/7Up0LnsWAcxmM4GBgWRnZ7N27VrGjh3Lyy+/zPPPP8/YsWNZu3Zts435stiziH1fYZOtB/unLMZRIAyYAvgAvsBUwBNYoijK8w31V1X1C1VV+6iq2sfX17ephiVJ1XpdNZn+104TYsW52Sx+8Ul2LfmZ9JPHsVkv7uzR6Najmd15thDbnbGbTyI+wUmr4dNOrXmubUsKHTTMHuDEf7sbiXKr/4+9Oa2UvEXRZLyzj5Ld6ajmqsRSURSGPDibq659CL0iLmnNTIvl+7kPkRkXg0bR8MyAZ9DU2IOYrNezpLeOFn0KhH6KRZxhTHU6hOXADu76zww69xlU94smN55X3v+0wWOrm1vLcA/a9a91Wu6KOMqKTGg0CuPu6ExAmLjHM/5QDlt+OnHR911KkiRJknR+9Ho9t95aNV92ainqwoVVJdb+jbUVazrTZPHUv9BcGmlz6t5p/zWnKIoHsAxwBSaoqrpCVdVcVVVzVFVdDkyg6mCb5xRFCW/4SZLUvAZPu5Wuo8cLscLMDLb/8gOLnp3L/DtnsHzeq0SsWUleWupFSQwe6vUQvf17C7Evj3zJ5uTNKIrCA8F+LOreBje9jg0t9Nw2wIn7+zjWXZr6D2tuBQVLY0h/cw9Fm5OxVVTtPex08ziuv/N/uOg9hfalJfn89OzjRG/fQifvTtzU7ibh/lfubpR2qKw/YfxCh/GggjlUJf6jOajl5dx49TgGj7sGM+L4lNI85n04n5SUVC6GQdeFoTfWqEFZYWXn0qqN7jqDlon3dcOrpXgSauS2NPb8GX9BxylJkiRJUtO74447gKpDbf744w9iY2Px9PTk2muvvcgja15nmiwm/PN/WzfSplWtto2ZRNUs4i5VVeNq31RVNQbYDeiAEWc4RklqcoqiMOaO+wnrW/8hv5VlpcTs3cmGbz7l20fu4cs5t7Pmsw+I2r6FssKCCzJGnUbHvOHz8HEUl8Y+vfVpkour9liO8HLjr97tCHdyAEVhj7eOB/o6MbO/E5v8dfUuGbCVmClanUDmhwex/HPCZ+CY7tz00Cv4O4YIba1WMys/fJttP3/HA93vx8voVX2vUqPhTS9PPMPK6iaMVgWvL/V4v6+jOLiSzP/eD8C4Qb2YfOOtlCAefKOYy/ni24XkF9Z/ME9zcnZ3oN/V4pbs6J0Z1fUVjc56Jj/YAxcvseblvpUJHN2ScsHGKUmSJElS0+vcuTN9+/alvLy8OnGcMWMGDg4Op+l5eTvTPYutqDrAxgR41HciqqIoyUAQMERV1e2ned5TwGvAUlVVr2ugzVKqlqQ+qarqm409T9ZZlJqbxWRi7ecfErVt81n1820dSpcRY+gx4Wo0mvpn8prK/sz93LHmDqyqfWlsB68OfH/V9xh1VUlXscXKfZGJrM8Vk63WJVZey9bSPrYErHW/E3T+Tvjd1x2NseqU2NJj2Wz8cD4nCvbWaRvWbyC2qzvy/K7/CfGPM7IYXl5BfowTGfs86n0PNgcV/3sfwOe+BwE4kpjNpwt+xE8tENqlO4fz0j3X4+9mrOcpzcdqtbH4lb3kp9sP7vFp5cJNT/Wt3ueZn1HKkrf3U1la4zRYBSbc1YW2vfwu6HglSZKkK4vcs9i4U3sWx48fT4sWLRpsN2PGDMaNG1cn/tlnn3HfffdVX+/fv59everWjG5KF3vP4hkli6deHOgFzFRV9bta94YDm4EMIFBV1UaPLlQUZSawgKoENOyfUho17+uBWKpmK6epqvpLY8+TyaJ0oRRmZZB4JILEI4dIOnqIiuIzm+EK7zeIiQ8+hs5gOH3j87Dw2ELm7ZsnxK4Nu5aXBr9UfW1VVd6IS+ejpKw6/acanXgxW4NlXyaqSfxj7NDOE5+ZnVH+KeRYcTKfvR/9zL7M1dgQ924Ou+12PtQsJSI7ojoWaLawLDUdo6qSH/tPwtjA14/ToEH4P/4Yxo4dOZFRyBufLyJYzay+n28zssPQm09v7U2fEK/6H9JMUo7ns/y9g0JszOxOtO9v/0snI66Q5e8dxGK2f4YancI1D/YgsL24jFeSJEmSmopMFht3Klk8nffee4+HH364TrywsJCAgADKy8vp1q0bhw4daoZRii6nZPEG4FeqEsKh/ywVRVEUP2AT0Al4WFXVD2r0eR24lqoZxKdqxP2oKpHhBHwCzFVVtfKfew7A+8C9QD4QqqpqYWNjk8midDGoNhtZCXH/JI8RpEYfw2puuL5eq05dmfL4szg4OTfY5rzHpKrM3TKXdYnrhPiLg17kunBxEn9pZj6PRCdRYRO/A9o6OrAwvBUeK5OoiMwV7jkPCMBjStvqWkKV8YVEz1/DttQlVFjts216vQNDX3ycWdvvwVbjd0f35Rdyf0HVH+fyXD1p6d0xHU1r8P24jh+P75wHiDG4sfjbz9DUyC7/qOxIkcaV/03uzC39gy9ofaM1Xx4lZr892XbzMTLjhQFodfaV/QlHclj16RHUGp+vwajl2sd64RPkesHGKkmSJF05ZLL473PZJIv/DGA+cB9QAawHzMBowI2qA2tuUFX7GjhFURYAM4GFqqrOqvWsmcDXgBZIA/ZTdepqbyAAqARuVlV12enGJZNF6VJgNlWSdjyKpH+Sx8z4WKj158s3pA3XP/Uizh7NN7tUYiph+srpJBQlVMcMGgPfTfyOzt6dhbYRRWXMPhpPeqWY5LrpNHwWHkzn3+Ixp5QI99yvboPrkMDq68qkIhI/38HquC8x2yqr42Hd+hM1Vs+PUT9Wx/Q2leWp6bSyVC3RNLsEctjTE+3SHBxiGthCrSi4TZrEtlbBROXbk9coix+7LVXbqG/qE8RLU7pg1DfvUt9TCrLK+OmF3dhqJILDp7ejy/AgoV3UjnQ2fhclxJw9HJj2TF8cXZt3llmSJEm68shk8d/nYieLZ1UATFXV+4FbgAPAcGA8EAPMAa6vmSiewbMWAv2A76naCzkOGEvVKahfA73OJFGUpEuF3uBA6649GDpjFre+/j53ffQ1XoGthDbZCXH8/PwTFGRmNNs4XAwuvDviXRx1jtUxk83E3M1zKawUJ+l7uDmxunc7ers5CfEii41boxL4c4w/Wg9x43bhyjjKa8w4OgS7EXL/ELr5DBfaxRzezSRTf7yN3tUxs0bhdW/P6vlBfUkqHVy8yX3EQu6DZkwh9axgV1WK/vyTbp9/Rr/duzGWV22ZbqPNRUtV+1/2pTDt852kF9bZTt0sPPyc6Dg4QIjtXZWA2SR+BXYcFMDAa9sKsdKCStZ9GynMOEqSJEmSJF2KzrpatKqqi1RVHayqqpuqqs6qqvZWVfWT+vYpqqo6S1VVpfasYo37B1RV/Y+qqqGqqhr/+WmrquqdqqpGnsP7kaRLhpuvHze/+CYB4e2FeEFmOj899xhZCXUOAm4y4Z7h/G+geMBMakkqT219SlgWCuDvoGdJjzCmtRD3/tmAZ9Kz+HKYJ4pDjRk7FfJ+jsaUap9xNAS60Of2aXgaxM3iO776loe7PSTEtjo5ssnJnsg6R23Bp8KNyo4qOY9byL3PjNW9nkTKZiM0PoEx69bjUFGBg2IlSFNQfftQSiGTP9rG7rjcun2bQZ+JoWj19q/QskITRzbVPfW057hguo4UZxyTI/PY91dCcw9RkiRJkiTpvJx1sihJ0plzdHXjxmdfJbSHWAexrLCAxS88SfKxw8322pPaTGJ6h+lCbGvqVr48/GWdtkathvc7tOLFsJZ1vhTmV5aybJi38G2hmmzkLDyGpdC+7NSlpz/DRt2Kgn3vYEl5Hq7L0+jlJ54U9oqXD+U19hiGJylVS3YVqOyqkvWMGZuu/pk357Iyuh2q+ty6OeYL93JKTNzy1W6+3R7f7DUvXTwd6DZCTAIPrEmkskxc0qsoCoNvCCMgzF2I7/kznuTovGYdoyRJkiRJ0vmQyaIkNTO90ciUx5+j49CRQtxUXsaS1//Hyd07mu21H+/zON18ugmxTyI+YW9G3ZIXiqJwTys/FnVvg7tO3Pv3sqacg4PFsg+2IhO5C45hq7QvvWx72zDatewvtDt8cC33GaajVezPzNYrfOXuVn3tlBmLb5F9D5/qAmXD7DOgOn9/4Zlt4uPxzsnBx5bPmDA34Z7FpvLiH5HM/eUQFeYzXhl/TnqNb43BaH9flWUWDq5NqtNOq9Uw7o4uOLrq7UEV1n19jNKCyjrtJUmSJEmSLgUyWZSkC0Cr03HV/Y/Qe9IUIW41m/njvTc4vGF1s7yuXqvnnRHv4OlgP1BHReXZbc9SYiqpt88ILzdW9Q4n0EEvxO9yKietp7cQM6eXkvdzdPX+O0WnYeQT92PU2U98tWEj5sc/uTn0RqHvNx7uJOp01ddBsRrhQKCS0VZUbdW1raIMQ0iI0L/3vv1gtTKrg4aHRofXeR+/H0zlhs92kJJfVu/7bApGFz09x7UWYoc2JlNaWDcBdPF0YOzsztSYeKW82Mzar49hszZabUiSJEmSJOmikMmiJF0gikbD8NvuZOiMWUJcVW2s++Jjdv2+uFmWTrZwbsEbw94QYmmlabyx540GekBbJyOLuretM8N4g18lpbVm8iqi8ihcad9/6RzgxbDrZgptMksTGLTeDx+jT3XMoiAcduNVkoprpv0wHZsnlPetSqJshcVoXFyEZ3oWFNA2JpZDhyJ4ZEw4X9zWGxcHndDmaGoRt361m9JKS4Pv9Xx1GxUkzBhaTDb2/1V/DadWnbzoOzFEiKWdLGD3ivhmG58kSZIkSdK5ksmiJF1AiqLQb8oNjLv3IRRF/OO3ffH3bFrwBaqt6WeZBrUcxG2dbhNiy2OXsyFpQ4N92jsbWdA1FEONvYUmFG5oAxZ/R6FtyfY0Snba6yV2ue4qAgM7CG2OnFzPvdZpQmy7kyMbahx2ExRrhRqnhJaMtaIqVdcVR4/i0LmT0L/rkSMUJSeTlpbGuM4tWPbAYNr4inUsE3LL+HVfcoPv83wZjDr61EoAj21NpSin/pNZ+0wKJaiDWDrlwJpEEg7nNNcQJUmSJEmSzolMFiXpIug6chzXPPYMOr1Ya+/g6j9Y9fE72GxNv9fu/3r9H23dxTIOL+18idzyhk8PHejhwkedgoVYtqJye1cDuIrLVAtWxFJ+vOrAFkVRGDf3YTQ19ilWWEsxbkyll3N3od+b3p4UaqoS0pbWTEqO28uNWAKgsos9eaw8fgLF0Z5cGsxmukccIiIiAoAwPxeWPzCYUR3E/ZULdiQINRGbWuchgbh6GauvbVaVPX/WP1uo0SiMvb0zzu7i//brF0RSlHthSn9IkiRJkiSdCZksStJFEtanP9c/8xIOTuJMWPT2LexfubzJX89B68BrQ19Dp9iXauZV5PHCzhcaXf46xc+TF8NaCrFIrY0n+ziDoeYRqZD3YzSm9FIAvAKD6Dv5eqFfTPFBZuwfIhx2k6HTMdfPl1NniPbNSiK7xF7Go2SCBfXUYlWLBY2TWBMyNCGB1PXrsViqlpq6GvW8cV1X9Fr7jGhCbhmbjmc1+B7Pl1avod/kUCF2fHcGuWn17wt1cjMw7q4uKBr7GCvLLKz58hhWi9y/KEmSJEnSpUEmi5J0EQV17MK0F97A2VOscbj798WUFxc1+et18u7Evd3vFWKbkzezLGZZo/3uaeXH3UG+Qmy9wcpn/dyEA1tUk5XcBcewllalfgNuvBl3b/Ek09SUfVxXOkaI7XY08oqPFyrQUskj91AYVlvV15MpFExt7cmsNTcXjEahf9cdOzkeaS/N6udmZHI3McH9Znvz7gts178FngE1En8Vdi9vuJZmyzAPBkxtI8SyEorYviSmuYYoSZIkSZJ0VmSyKEkXmW/rUKa/9JYww1hZVsrupb80y+vd0fWOOuU03tz7JqklqY32eyGsJZN9PYTYV85WVvcWY9bCSvKXnERVVXQGA2Puvl+4n2/KYOCRALoo7YX4764uLHB3BeBmy1bWx9pLjVRONYmDqagQLj0KC0n96ishNnuwONO3PSaX4xnFjb7H86HRKAy4Rkz+4g/lkBFf2GCfnmOCCenmI8SObEohZn/zzYJKkiRJkiSdKZksStIlwN2vBf2miqUlItb8SWFWRpO/lk6j49Uhr2LU2mfnSs2lPLPtGayN7JXUKAofdQxmgLu4bPZZbyvHOtU6ITUyl9K9VWMP6dGbdgOGCPej8rbz2LFptNS3EOLveXqw3skRb6WYFskW4gqqylKUtNWg7SyWo6g0iHv+WmzcREG8ffawa5A7fUPEg2S+bebZxdAePviFiJ9FY7OLikZh9MyOuHqLM6Ubv4+iILP5Sn5IkiRJkiSdCZksStIloudVk3Hxts8yWS0Wtv38fbO8Voh7CHP7zBVi+zP380PUD432M2o1fNs1lHAnByF+e6CNfD8x4Sn8Iw5zdlXCM3LmXRiM9oNpzKqJuOw9/O/k3bjo7CUxVEXhKV9vjhoM3KldxS9HrqPCUpUUmq4zYfS2zzAaTCbMNeo06i0WEl58SRxXrdnFpQdTySutNUvZhBRFqbO0NCU6n+TovAb7GJ31jL+rCxqdfT2vucLK6i+OYjE1/UFHkiRJkiRJZ0omi5J0idAbHBgyTSxvEb19C5lxzbOHbVr7aQxuOViIfXDgA07mn2y0n6dex6LubfE32BM1q0bh9nZarHr7V4pqtpH383FUiw0XL28GT7tVeE5SaRSGvAqey7hHOHSnQqPhQX9fSnUmbjDvYPHxawHIauGA7/h8HDyq9kMqQJ6XOHPosGsXpbv3VF+P7eRPoIc9Sa202PhpT1Kj7+98tergVac0xq5lcY0eIuQf4saQG8KFWG5qCX8vPtEsY5QkSZKkK1FISAiKojT6s2zZMqHPqlWrmDBhAt7e3jg4OBAaGsqcOXPIyGj61V+XIpksStIlpOPQEfgGhwixv3/8ptFE41wpisKLg17EzWBfNmm2mXlq61OYreZGekIro4Efu7XBRWv/Ckl21vBGe3FpqDm1hKL1VclZj/FX4xsizrrtz1lL58zWPGK4S4jn6LQ80MKX63XrOJ7akYNZXVEVSG3rSvCIXAxuVeNzLygk38Nd6Jvyv/+hmqvu67QaZg5qLdz/bmcCpmY+cXTAFLFESVZCEfERjddR7DI8kLA+YsmPqO3pRO9Mb/LxSZIkSdKVbPz48cycObPen+Bge8mwp59+mkmTJrFu3TrCw8OZNGkSAJ988gldu3Ylssbhev9WMlmUpEuIRqNl2C2zhVjS0cMkHDrQLK/n7+zPswOeFWLH84/z6aFPT9u3i6sTX3cJpcbqSZa21LGlhVh/sXhLMpVxBWi0Wsbe+QAo9g4llnyiC3czKqIrtwVOF/qdNBh4zt+dB3VLWHBsOoWVrqQFOGJzUQkemYvexYLRZCKxtZgM2hISyPvevpx2Wp9gnAz2Uh2ZRZX8dbR5EzD/UDfa9BBPj921Iq7RWo+KojDy1g54+IulQf7++QSlhZUN9JIkSZIk6Ww9+eSTLFiwoN6fXr16AbBy5Upef/11nJ2dWb9+Pbt27eL3338nJiaGhx56iJycHG688Uas1n/3lhGZLErSJaZ1914Ed+0hxP7+8VtsjRw+cz6uCr2Kq0KuEmJfH/2aiKyI0/Yd7uXKux3sv4FDUXixowOlTvbkDBXyFp/AVmYmILw93UaPF54RWbiTUnMhtx4czeigUcK9bU6OJPpF4GMp5ttjM7CqZlJ690fvaKP1yFz0Tha8c/OICxX3JmZ//DHmzEwA3J303NA7SLj/zbb4Zpmtran/NW1q5sXkp5dyYnfjS1YMRh0T7u6CtsZyXnOllV3LYptrmJIkSZIk1ePDDz8EYO7cuYwcaT+hXavVMm/ePNq0aUNkZCS///77xRriBSGTRUm6xCiKUmd2MScpgci/NzXbaz4z4Bn8HO1LIG2qjae3PU2Z+fQnct7UwovHQuynmhYZFJ7tYhTqL1oLK8lfFoOqqgydPgtHN/vSUZtq5UTRPmy5Jp4y3Udnr07C8392d2Wg9wKO5HRmU/IQkp2zMfuFo3e2Ejwyl+D8ZKI6dsCkt89oqmVlZL75VvX1zEEhwjMPpRRyIKngtO/tfHi1dKZ9f/G01z1/xGM1N74E1jvQhYHXistYo3dmNFqCQ5IkSZKkprV3714AxowZU+eeXq9n+PDhACxZsuSCjutCk8miJF2C/EPb0nHoSCG2ffH3mE3NsxzR3cGdlwaLJ4kmFyfzzr53zqj/nGA/fPT2Q2q2emqI6S4e8lJ+OIeyA1kYXVwYcrN4kE9c8SFM1grMW7N5p/Ob+OvF8hOrfAoIcfmbX09MJbnQgeh+nVC1DhhcrYQOz6ZldjpHunUV+hSvWkXpzp0AtPV1YWR7cVnoN81cRgOg79WhwimnxXkVHNvWeD1LgK7DA/FqKZYo2br4JGojy1glSZIkSWo6JSUlAPj4+NR7/1T8wIHm2Sp0qdCdvokkSRfDkGm3cWLnVqwWCwAlebkcWLWC/rXqMTaVwYGDmdZ+GouPL66O/XLiF0a0GsHQoKGN9jVqNdwe5MNb8fZllo8Hwh9ZzljSSqtjBctjcQhxo9Ow0ez45UdKC/IBsKhmYosj6OgxAN3KfD6++UtmrpxG2T95lk1RKAlchSUhjC8Pz+Rpx3fxGnUTgeu+x8HNwiDlIAudb6JNXBye+QXVr5c69zHCN29CMRi4fUgom45nV99bfTSDtIJyWtY4LbWpufk40mVoIIc3pVTH9q1KoNPgluhq7KOsTaPVMOSmcFa8H1Edy0oo4vjuDDoMDGi28UqSJEn/XilPbr3YQzgvQW80/m+Rpubn50dqaipxcXF07Nixzv24uKo6yvHxzf/L54tJzixK0iXKzdePnlddI8T2LPuVsqLmW474aO9Hae0mHhjz/I7nySlv/CRPgFmBPjhq7LNoyRYL+8YEgK5GOQ2TlbzFx9FqdPScMFnof6JoP1bVgjm1hMAoN97ucDuaGvsKKzXg3uorksrdWRE7gRPmTZR0qVoa0to1HW9bPvt79xaeac3LI+XRRwEYEuZDuJ+9pqPVpvLdzsTTvq/z1fuqEHQO9sSwvNjMiT2Zp+3XqoNXnUNydi6NxVRhafIxSpIkSdKVZOTIkfWWzZg1a1Z1m1Gjqs5R+Oyzz+r0T0lJYdWqVQBYLBbKy8svyLgvBpksStIlrP/UmzA62xMcU3kZu39f3EiP8+Okd+LVIa+iUexfDTnlOTy08SHKLY1/EXrpddwc4C3E3ikpxH2SePiMKamY4k1JdB87Eb2DsTpeYS0hsaTqCOqidYkMCruHJ2xiWQyLvgzHoIWsih9JdG5LjgWVYPVohQL00h0l18eHuDbi65Ws30DuDz+gKAqzB4v3ftqTRJmpeZMvJzcDXYcFCrFDG5PP6ICdwTeEoa2RbJcVmdi3KqGphyhJkiRJV5SGSmcMGTKkus1///tfjEYjf/75J3fddRcnTpyguLiYjRs3Mm7cOMxme5kxjebfm1L9e9+ZJP0LGF1c6H/tTUIsYu0qCjKar/RDd9/u3Nn1TiF2JOcIz2x7Bpva+OEs97TyFb5Uokor2N/OGWMHL6Fd0YYklFwbXUeNE+LHC/egqiqq2Ub+0hhmjHqT6YXFQhutYyo6z318deQ2sgpTODl0KChauhKNgo1D3btTaRDrPWa9+hqlu3dzbc9APJzsB+EUlptZevD0ewjPV9eRQSg1Zl3z0kpJico/bT83H0d6jgsWYoc2JFOQefqDhyRJkiRJql9DpTPuvNP+75/OnTuzZMkSPDw8+Oqrr2jfvj1ubm6MHj2ajIwM3njjDQCcnJxwcHC4WG+l2ck9i5J0iesx/moOrvmTouwsAGxWC9t+/o6rH/5vs73mfd3v42jOUXak7aiOrUtcx/sH3ufR3o822C/E0YGJvu78mW1fKjs/OZufbggn8/0D2Er++S2cCnmLj9NzetV7U21VSWiROZeM8jgCnNpSGVtIWc9wnvDsRUrJYbY62fcWOvisJze2Fz9FX88dXX/Ea+QM/DZ+TxgJnHRow6Ee3em3Z699YKpK8t330GbFcqb3C+bTzfZSFN9si2d632A0NZK5pubqZaRtT19i9mdVxyI2JNOqk1cjvar0Gt+a6J3plORXHW5ks6ps++0kVz/QvdnGK0mSJP37XOg9f/8GEydOJD4+niVLlnDo0CHMZjMdO3Zk+vTpbNy4EYCuXbue5imXNzmzKEmXOJ3BwJBp4umhx3duJT3mePO9pkbHvOHzCPMIE+LfHv2WX0/82mjf+4P9hOu/80uIUi143dhOiFvzKrDtLKbdgCFCPLpwT/V/F/wZjzLwaV7KycXRZp/VVHRlGLy3sCO9P3szehLFDirCB9ODqmWs8aGhJLVqJTxXrawk4dZbubWjG9oaiWFsdilbY06/J/N8dR8tjifpWC556aUNtLbTO2gZeJ1YSiPxSC6JR3ObdHySJEmSJNXl4eHBHXfcwYcffsinn37KQw89hK+vL2vWrAFg7NixF3mEzUsmi5J0GegweDh+IWLC8PeP355VYfnKsjJykhOrT1c9HVeDK/NHz8fHUTwy+tVdr7IjdUcDvaCXmzMD3MWyD58mZ2Ns74XLoJZCvOxAFr06ThBiWRVJ5FVWnaqqVlgo2O2MT4cpzC4sEtoZvLah6Ar5LvImskoUjrVzpJ1TEUYqQFHY17cPJc7iOKzZOVQ+8iCTO4h7K7+9AGU0WrRxxz9ULAlyeGPyGfUN7+NPQJi4f3PbryexWhpfFixJkiRJUtNLSEhg8eLFODg4cNddd13s4TQrmSxK0mVA0WgYdstsIZYSeZS4A3sb6AE2m5WMmBPsWvIzP//vv8y/czoLH3uAhY/Poby4qMF+NQW4BPDxqI8xau0H0VhVK3O3zOVk/skG+9WeXVyWlU9KhQn3q0LQ+TsJ99QdJbTvMEiIHa8xu1h+JIeKVnOYWVyOt8VaHVc0Zgy+6yizOPPN0VvIKzpE8uiJdCUaALPBwM5BA7Ep4vLSyshI7tz8DUqN/Zebj2cTk1Vyuo/jvNWeXTy+K4OKEnMDre0URWHoTe2gxlspyCwTSnJIkiRJktS0du/eXScWHR3NpEmTKCsr46WXXiI4OLienv8eMlmUpMtE6249COneS4htXbQAm9WeQBXn5nBk01r+fP9NPr3rVn585lG2//IDqdHHqtvlp6WwZ/lvZ/y6nX0688bQN1BqZCol5hIe2PBAgyU1xni7Ee5k3+xtVeHLlGwUvRavmzuA1v4stcJKd4biqrfv30suPU6p2b7vMW+jFcces7i/QCwbYnDfj8Yhg6i89qxPGk584Ura9bLXIczz9uZIt7p7CbQ7/uapxHVCbMGO5p9dbNvTFxdP++diMds4tu3MDtjxDXal02BxZnbvynhKCyubdIySJEmSJFUZMGAAISEhXHXVVcyYMYPBgwfTpUsXIiMjeeyxx3jiiScu9hCbnUwWJekyMnTGLKgxU5abksTWnxay+bsvWTD3fr64fxZrP/uQ4zu3UlFS3OBzDq//i4rSM59JG916NHP7zBVi6aXpzNkwp96SGhpF4d5W4uziD2m5FJotGAKccb9KLGGhVMKowFtw1lUttVSxcaJ4X/V9W5GJwoppXGfSEGKqMROnqDj4rgZgycnJpBT7k+l1CH9jXnWT6A4dSAuoW8h+aMQ6rondVn29ZH8qhWWnn+U7Hxqthq4jg4TYkU0pZ7ycdMCUNhgc7eeSmSus7Foe16RjlCRJkiSpyty5c/H19WXPnj389ttvxMfHc/3117Nlyxbefvvtiz28C0Imi5J0GfELaUPnYaOE2L4/fmf/yuXkpiSd8XNM5eUcXr/6rF77P53+w7T204TYsdxjPLX1qXpLalzv74mvwZ7YlFptfJ9WdSiLy+CWuNSaJTMqToxocTOO2qq6knGlhzFZK6rvl+yvgM7380h+gdBP5xqN1ikWi03Pl0f+Q0l5Lt0GpQH/7OdUFPb070eZoyO13XNkGQPSjwJQbrby894z/wzPVafBLdE5aKuvSwtNwimpjXF0NdDvajHRjt6RTmbCmS0rliRJkqQrWUJCAqqqMmLEiDNqP2/ePPbu3Utubi4mk4m0tDQWL17MsGHDmneglxCZLErSZWbQTbei1etP3xBwcHamXf/BjL37QXpPmircO/DXCizmM59JUxSFJ/s9yeDAwUJ8Q9IG3tv/Xp32Rq2GOwLFw3G+SsnBZLOhKAruV7fBuW8L4b6L3oMRLW7GQeOExWIi3nZUuJ9zfBgjdF70qqgQ4g5+qwAbKSWB/B4ziQrLQSYOzkWPCYBKo5FdAwbU2b+oAf679wfa5VcliQt3JGCxNu+hMUZnPR0HiO/78MbkMz6sqMuIQDwDxIN7ti4+gWo788OOJEmSJEmSzoRMFiXpMuPm40uviVPqvadoNLRs34lBN97CjFfe4f6vFjH50afoNno8/a+bht7BflBNaX4eUds2ndVr6zQ65g2bR7hnuBBfcGwBvxz/pU77mYE+OGrsXzMZJjNLMwuqxqooeFwbhmMPX/H9GbwZ0WIaBo2RE4X7sar201stuTYq/O5jbl6B0EfrmIrO7TAAaxNHE5nbjlL9Bm7pkY8HVfscs/39iOzUqc4YjTYLL+78mhaluaQVVrA2MvPMP5Bz1G1UK+GwmqzEYtJjCxvuUINWq2HojeLnnxlfxIk9GU05REmSJEmSJJksStLlaOAN02nXfzA6Bwfc/fzpPvYqrpn7NA98/RPTX3qLgTdMJyC8PRqNfbmjo4srXUeNE56zb8XvqLazm0lzMbgwf/R8fB3FJO+13a+xLXWbEPPU65gRIBae/zQ5q3oWTdEoeN3YDmMnsZSFh4Mfw/xvxFRSRqZfmnAvL7I7XV3bMa5ErFHo4LsGlKrE8pujt1JcqSXdP4Y7WkTQhkQAIjt3IstXHLcKeJhKeXnnV7iaSnlrdTS/7EumsLz59i96+DsR0lWcdT204czKaAC06uRFaHex/46lsZgqzqwsiiRJkiRJ0pmQyaIkXYb0BgcmP/oU//fdEu786GvG3PkA4f0G4eDk3Gi/3pOmotSY6ctLSyHuYMPlNxrSwrkFH43+CEedfR+gVbXy2JbHOJF/Qmh7dytf4YsmurSCTXn2w3cUrQbvGR1waOcp9PM2tmSo//VEp+5Ccamx7NamUGC5nf/LL0RXY+mmxpCP3nMnAPmVHnwfOY3SsjiSB3TiFsMGBrIPVaNh18ABVBoM9tenKmEMKsnm+d0LSM0q5InfDtP3lfXc/d0+/jycRrnJfuJsU+k+SjzoJj4im6KcuocFNWTwDWFodPbpybJCE/v/Smiq4UmSJEmSJMlkUZKuJG6+frQfOFSI7V2x5Jye1dm7bkmNUnMp96+/n5Rie/2/1o4OXO3nIfSdnyQe6KLoNHjf2hFDraL1fo7BdLT0obhTmRAvzWhHS8/B3FQknujq4LMRNFVt92b2Yld6H9LzVpM29kbGs5Vr+Quzk4HdA/qLrw+YdDq65MbzyMFfQFUxWW2sjcxkzqKD9HllHY8sjmBTdBbmJtrTGNjeE+9Al+prVeWs6ia6+zrRY4xY2yliQzIFWWUN9JAkSZIkSTo7MlmUpCtM32uuF65ToyNJOxF1Ts8aFTyKx/s+LsQyyzK5fc3tJBfbl1XeX6uMxraCEg4Xi0mNxqDFZ1Zn9K1chXiAUxtM+3Nx6CguZ83Nns7dhcU411hGq2jLMXhvqb7+MfpGcsq9OFG8gpx+V9OdaG5nMaUtXTjevp3wPIPFQr6HByNTDtIrS5wdLTVZWXowldkL9tLv1fU8s/QIu+NysZ3HoTKKotB9dCshFrk9DVP5mS8l7T2hNc7u9llSm0Vl+28x5zwmSZIkSZKkmmSyKElXGL+QNrTu1lOI7V3x+zk/79aOt9YpqZFeml6VMBZVJYw93JwY6CEukf00qW65CI2DDt/ZncFLJ8S9rC2oLCsFvX0W01wRhLPzRO4oEMtGOHhtQ9EVAFBuceSrI7diU1WOOh+hpFUHWpLF3Swiv5s3eV7i0le3oiLiW7fm3uN/odRTDgQgv8zMj7uTmPbFLoa8uZHVR8/9YJl2ff1xdLUvsTVXWInakX7G/Q1GHQOvCxNiCYdzSI7Ka6CHJEmSJEnSmZPJoiRdgfpOFmcXY/btIi/tzJdA1nSqpMbE0IlCPKM0g1lrZpFUVFWWovbs4orsApIrTHWep3HSE3B/b8oUcYkpiZXoW7gIobysG7il1IyfpcZsnMaKg+/a6suTBWFsT+uP1VrKoXZaKp2ccaGc27RLKRnogVlnT0y1Nhu+OTl4VuSxvEMptw8Oxc/VocH3nlZYwcOLD5JdXNlgm8Zo9Rq6DBf3Lh7elHxWM5bt+vnToo27ENv+28nzmvWUJEmSJEkCmSxK0hUpuGt3/ELa2gOqyr4/l57z83QaHa8NeY2r21wtxLPKspi9ejYJhQmM9nYj3MmeeFlV+DI5u97naV0M6CZ5U2IuEOLm5GI0zvaZOBteWLmeOfli2Qm9+0E0DvZTVJecmEyZ2ZEKcyaHB7TDqgEdNsa7bsfWT0wGXUpLcTCZcPxmPs+OD2PnU6NZdFd/pvdrhbtj3fqWFWYbKw+n1YmfqS7DAtHq7F/FRTkVJBzKOeP+iqIwpFYpjdzUUqK2n/uYJEmSJEmSQCaLknRFUhSFvtdcJ8Qi/95IaUH+OT9Tq9HyyuBXmNxmshDPKs/i9jW3k1iUwH3B4uziD+m5FJjr36MXOqgPEfxNmUVcZmorFUtaFJVM4epKI2GmGrOUioqj/1/Vl8VmV1bETqhqb0kmsn9XTs279Qg+ibmtkZr0FguW7Gyy33kXrUZhUFsfXr+uG3ufGcPXM/swNFwsW7Hi0LknZk5uBtr18xdiERuSzuoZ/qFutOsvPmP3ijgqz2L/oyRJkiRJUm0yWZSkK1S7AUNw87UnGFazmYOr/zivZ2o1Wl4e/DJT2k4R4tnl2dy+5nZ6GQvwM9iXfZZZbXyfllvvsxSNhs5Xj2VzxmIqrGJNRcXBXj9SxZGS8uk8mlcgtNE4n0TrbD+oZkPyMFJLWgCQpU8nrqP9JNG2vdJIChYPmwHIW7iQ4k2bqq8NOg2jO/rz+nVdhXYHkgpIzjv3U0hrH3STHlNIVmJRA63rN3BqW3R6+1d6ebFZltKQJEmSJOm8yGRRkq5QGq2W3pOmCrGItSsxlZ9f6QWtRstLg1/i2rBrhXhOeQ73rr2Da73Fr53Pk7PZWVBrf+I/Og4Zic1Z5e+M37DVOHBGrbSiGOzPKbWMZYDJj/7lFUJ/l4A1QFU/m6rlp+jrOVWaMcG3jPSAqpNXnbUVZA9oQUxYW2pLmfMgxRs2CLEgTyf6tBYPxzmf2UXvQBeCOojPO7QhuYHW9XPxNNJznFhK49DGZAqzz7x2oyRJkiRJUk0yWZSkK1jXkWMxuthLVVSWlnJk47rzfq5G0fDCoBe4Plw8SCe3IpcNhx/FscY3T47ZwrUHY5h9JJ7YMjHZ0+n19JwwmXxTBieL9gn3VHPN00q1FJbP4pE8cRmtTZ+Kzv1g9XVUXnv2Z3W3X4c7UeBWNdPZWXOS/b17E9mxo/hmrFZSHvo/CpYtE8LX9GgpXP9xHski1J1djNmXRWnB2R2c03Nc3VIaO3+XpTQkSZIkSTo3MlmUpCuY3mikx/hJQmz/ymVYLee/102jaHh+4PPc0O4GIV5YnoqxeEOd9n/lFDJ8TzRPn0ghx2R//W5jr0LvYORo/jZKa+5fVEFxtC9prbD1JayyIxNLxCWrbgHrQWNPun45fh2VVv0/j7ByuJsvZUYNHYhFo9g40r0bEd27C8/AaiX9yafI++776tDErgFoNfZSHtEZxRzPKD6DT6Z+rTt74+HvVH1ts6kc2Xx2J9TqHbQMvFacHY09mE3ayXPfiypJkiRJ0pVLJouSdIXrOf5qdHr7bFRxbjYndm5tkmdrFA3PDXiOm9rdJMS1ud/jWr63TnuLCt+k5jBwVyQfJWZSbrXh6OJKtzHjsahmDuSKs55quQW0pxI2hQLT7TyYX4BetZeNMCv5OPr/WX2dW+HJ6vgx9vsaM4e6+6DTmggjEYDjHTuwt28fahefyHztNbI//gRVVfFxcWBwWO2DblLP9KOpQ9EodBspltE4ujUVs8l6Vs9p168Ffq1dhdi2X2NQZSkNSZIkSRKsXbuW2bNn0759e9zd3TEYDPj6+jJ48GAef/xx9uzZc0bPefrpp1EUBUVRmDdvXjOP+sKSyaIkXeGc3D3oPGKMENu7Ygmq2jTJhUbR8OyAZ5nWflp1TMGKMftDgvLepZOTUqdPsdXGq3HpDNkdxZKMPPpfPwPPgJaklcWQUnpCbKzY+5vVMLwqh3BLoTjDp/PYi871aPX16sTx5JR7VV+XOdg40tmdTkp0dSyubVsO9OpVJ2HM+fhjMl97HdVm45rutZeipp/X59ZhYAAOTvbZ0spSC8d3ZZzVMxSNwuBapTSyk4qJPsvnSJIkSdK/VWZmJiNHjmT8+PEsWLAAq9XKiBEjuPHGG+nduzcxMTHMmzeP/v37c9tttzX6rL179/LWW2+hKHX/PfNvIJNFSZLoffVUIenKTkog8dCBJnu+oig80/8ZZnSYIcQrSw5ijn+QeeFeBBsNdfqlVpp5ICqJKVEpBN3+IFq9ngO56zHbapTJsNiE5aiFlv9wX0EpoSaxxIZjwO8ouqplrCarhmUJ9wv38z106MLS0WLvF9MunGJXcZYOIP/770l/6mnGtffGUKNGYlJeGRHJBaf/QBqgd9DSeaiYgB7emHzWs4ItwzwI6y2WKdm1PBZThSylIUmSJF3Z8vLyGDRoEJs3b2bw4MEcPHiQmJgYli9fzo8//sjq1avJyMhg27ZtTJ48maioqAafVVlZyaxZs/D392fKlCkNtrucyWRRkiQ8W7SkXb9BQmzvH7836WsoisKT/Z7k1o63CvGCynxikr5ha/8OvNC2Je46bZ2+h4vL+U+ulYQx11FuLeZo/jbhvlqjnqBV9cdqvoY3snPQ1Zzl05ZhDPiVU6ej7kz2I6FC3K+ZGWCgW+BOIRbXtk2976dw+XIKn3iMcWEeQnx5xPkddNNleBBKjb2Q+RllJB6tv7xIYwZe2xZtjUS2rNDEwbVnV79RkiRJkv5t7r//fuLi4hgyZAgbN26kR48eddooisLgwYNZsWIF8+fPb/BZzz//PJGRkXz22We4u7s346gvHpksSpIEQJ9rrhOuk44eIjOuaU/SVBSFJ/o+USdh/P3k78QXnODeYD92DejIPUG+6OtZzvFzcBcS23XnZNE+8iszxWcb7UlmkWUa7SrdmJNfILTRuZxE77mj+npR1BR0BrHchEubRBwd7QfpJLdqVWcp6iklGzcye/VnaGqU9fjzcDrW89gf6OplrDMreHDd2Sd5bj6OdB8jnrB6cF0SxXkVDfSQJEmSpH+3kydP8uuvvwIwf/58DIa6q5pq69evX73x3bt388477zBjxgwmT57cpOO8lMhkUZIkAALC2hPUqYsQ27tiSZO/jqIoPNrnUULcQqpjKipv730bVVXx1Ot4MTyQrf07MNnXo3Znlg2ZjM3Hl305a4T9gWqFFcVB+8/znCg0382swmL61Kq96OC3Go1D1f692OwKjla+iVbrUuM1oHVwRPVlmbMzud7e9vs6+5JXAKeIPUyPtx8IlFNSyc7Ys58JrKnnWDGBTTtZQGZ8UQOtG9Z7Qmsc3ex/EVrNNnYujT2vsUmSJEnS5WrlypXYbDa6d+9O165dz/k5FRUVzJw5Ey8vLz744IMmHOGlR3f6JpIkXSn6XnM9KZH2g2BO7NpOYVYG7n4tmvR19Bo9j/d9nAc2PFAd25Oxh03JmxgVPAqAEEcHvuwSwr7CUv4Xk8r+ojIATAYjy8ZM44YlnxFTfJBwt17Vz1DN9pNDy22DcLb25rXsCK4PDKBYW/W7MUVjwdjyJ8oS5oCq59O/81n8n5fJSHykuq+PXyKOSYWUl1ctKUkKboVP7j8JoMWCzs8PS1ZWdfvpx1axy6stsR5Vp5muOJTKkHDxpNSz4RvsSlAHT1Ki7SUvDq5LZMLdZ/cXm8GoY8A1bdj0g/3gnpN7M+k2MogWbf6dy2UkSZKk+r3wwgsXewjnpSnGv3//fgD69OlzXs955plnOH78OD///DM+Puf+9/3lQM4sSpJULbRHH7yD7LNaqmpj35/LmuW1hgYOZWDAQCH2zr53MFvFg2n6uDuzuHtb3Grsv4vx8Mdx6i0cydtCuaXE3tgGSvVpogr5lntpYdHwXG6e8EytMRMH39UAlFRa+PZAMM7O9hNEFQWCWx+uvk4NDRKWoqqqiqbG3gSt1coT+xbhYKk6eOevoxlUWs6u5EVttWcXYw9mU5BVdtbP6TAoAO8gFyG27deTTXbarSRJkiRdLnJycgDw9fWt9/7atWuZNWtWnZ+EhITqNjt27OD9999n6tSpTJs2rd7n/JvIZFGSpGqKotD3muuF2NFN6ygrKmyW13q87+NolBqniRYnsSh6UZ22LjottwaIv7n7LrATbQYO4GDeBiGulllAV7Xf0aoGUGS5iatKy7i6pFRoZ/Dejtb5JAC/7U+l1PiQcN/XNwEnp6qZvTKDMzl+9te3ZmfjMmK40D64JIs7jlXVcyyusLD5ePbpP4RGtOrkhXdgjSRPhUPrk8/6ORqNwpBapTQy44s4uS+zgR6SJEmSdGWKjIxk4cKFdX5OJZnl5eXMnj0bNze3Rg+++TeRyaIkSYIOg4fh4mXfo2cxVXJkw5pmea1wz3BuCL9BiH1+6HPyKvLqtL0zyOdUDghAbIUJ7fX/ocStiPSyuFqt7bNmxdbrMdta8nROHi3NYukIY8CvoK1KIj/Y6oaTc4fqe7VnF7O6Bgh9SzZtxm3y1UJscvwO+mZEArDi0PmdiqooCj3HibOLUTvTKS82NdCjYUHtPQntLibbO3+PxWw6v9lPSZIkSbqcnFoymp1d/y90H374YVRVrf5p3bq1cP/pp5/mxIkTvPvuuwQEBNT7jH8buWdRkiSBVqen18Qp/P3DN9WxiHWr6HvN9Wi0dctanK8Hej7AqvhVlJirlpMWm4uZHzGfZwc8K7RraTQw1c+T3zLt+/i+yC7m84efZPn/XsLX2AqdRl91wwIabwO2XBNgoMByH76a53gtO5fbA/yw/XPSqkZfhLHF71Sk3srhlEKOdXqQUOz7KH19k0hOyqO01It4n9Z01h8Gc1VfW1ERWk9P9MHBmJPsp5U+cvAX7hs1lw1RGkoqLbg4nPvXbFgfP3Yti6UkvxKoOqDmyOYU+k2uv5xHYwZdF0bi0Vxs1qpEuiS/kkPrk+gzMfScxydJkiRdPi73PYtNoVevXvzwww/s27fvnPovXboUjUZTPeNYU3R01fkAn376KX/++SdhYWF89dVX5z3mi03OLEqSVEfXkePQOThUX5fk5hCzb1ezvJaX0Yt7ut0jxH478Rsx+XXLdtzbStxjsLOglHTvFvS/7WYiC3YI92y5JvT/LOOstPWkzDqU3pWV3FEoniqqdzuGzr3qL41Pt2vRGHoK90/NLpYqzlT2dhXuFfy8GP///hdqJNGelSU8cuAXKkxW1kVmnPb9N0ar1dB9tFj+4sjm1HOaEfTwd6LryCAhtn9NEqUFlec1RkmSJEm6XEyaNAlFUTh06BBHjhw5p2fYbDa2bNlS5yczs2p7R1xcHFu2bDnnhPRSI5NFSZLqMLq40GnISCF2cPUfzfZ6MzrOoJWrPSmyqlbm7ZtXp10XVyeGeIiHtXyWlEXX0eOhs5FCU45wr6KgCK2PEYAC853YVEfuyy+kc6WYIBlb/IGizyG31MTatDuFez4+yTi7VJ2EmhQcjM7RnqipJhPFGzbgc/99Qp/+mVFMStjJiojzW4oK0GlISwyO9tnJilIz0TvSz+lZfSeGYHTWV19bKq3sWi5LaUiSJElXhnbt2nHDDVXbX+677z5MprPb2pGQkCAsU635M3PmTADefruqFFhERERTD/+ikMmiJEn16jFB3I+XEnmU7MT4Znktg9bA3N5zhdj2tO1sTdlap+29wWLB+hXZBaRWmhlz9/0cV/cL97SlGgjSoXHWYcObIsut6IE3snJxtNmq2ykaE46BiwErv0TYKLCJh9e0/md2MUoThlcX8aCcwqVLcRkxAsee4ozknUf/IP7AMfJKz36PYU0Go44uwwKFWMT6JGy2sz/N1MFJT7/J4rLT47szKcotP68xSpIkSdLlYv78+YSEhLB9+3ZGjx7dYFK3fft2iorOvsbxv41MFiVJqpdvcAhBnboIsYNr/my21xsVPIo+/mLdo3n75mG2iaU0Rnm5Eu5kXyJrVeHLlGwMjk4MffgO4kuPCu1NBwtwmRQMWoUS69WYbG0IsVh4PC9faKd1TMbgsxGrTeXH4zdSs7KEt3cKLi45lONIXqg3BrcaY1JVst6eR8Cbb6Bxdq4OG61mHt3zI38dTOJ8dRsVhKbG6T5FORXEHTy301Y7D22JZwun6mvVpnJ4Y8p5j1GSJEmSLgc+Pj7s2LGDIUOGsG3bNnr27El4eDhTp07llltuYdy4cbRt25YhQ4aQn5/PqFGj6hx0cyWRyaIkSQ3qOWGycB21dTMVJSX1Nz5PiqLwRN8nULAnRXGFcfx6/FehnUZRuK+VOLv4Y1ouRRYrvq1D8ZgYSoXVXo9Qq+hI/SsCrxvaAVoKzPcDcENxKSNLxbqFBp+NaBwTOZBs42jRdcK9U7OLkdpO+HUXf9NYtmsXppgY/J8VD+UJL0yl9LPzP1rb2d2B9v1aCLGDaxPPqVaiRquhR60ajpHb06gstzTQQzolJCQERVGqfzQaDW5ubrRq1YoxY8bw1FNPcfjw4Qb7n+pXs16XJEmSdOEFBASwdetWVq1axX/+8x8ANmzYwK+//srBgwfx8/PjkUceYffu3WzYsKHBuoxXApksSpLUoLA+A3DxtpdcsJgqObppbbO9XkfvjkwNmyrE5h+aT2GlWOfxOn9PfPT2fXwlVhs/plXtK+wyYTxZ3uKePtdiN7JyknAdHYxJ7UCJZTwK8EJOHt4W+x5ERVFxDFyEYsjmx2MjKbfYZzC9vFNxdc0mStcJx5ZmnP3FfY+Zb76J28Sr0I4cI8QH71tN0sZtZ/1Z1FY7wctKLCbtZME5Pat9vxY4uhmqr80VViK3nv/+yivF+PHjmTlzJv/5z3+YMGECYWFh7Nu3jzfeeIPu3btzzTXXkJFxfocbSZIkSc3vqquuYuHChZw8eZLi4mJMJhPZ2dns3LmTd999l379+p3xsxYsWICqqjz22GPNOOILTyaLkiQ1SKPV0mPsRCEWsXYlNlvz1ed7sOeDOOocq68LKwv5/PDnQhujVsPtQWLdwK9SsjHbVBRFodeDN1JgFQ+7KV2TjK6vO47dfSmyzMSquuFls/FyTq7QTqMvxKn1p+RakliXOlO417r1ISrMNuJa3YBfz0JQ7DN75sQk8n/6ibavv0yhs6f9eajkPvM01vPc9+AV4ExIV28hdnDduS1x1eo1dBsh7oM8vCkZq9XWQA+ppieffJIFCxawYMECfvnlFzZt2kReXh7Lli2jTZs2/PHHHwwfPpzc3NzTP0ySJEmSLmEyWZQkqVFdR49Hq7efoFmYlUn8wf2N9Dg/vk6+3NX1LiH2U9RPJBQmCLGZLX1w1NiXrKZWmvkjuwAAo7MzHleLB7m463yI+GQJnteHowsOpNAyG4Ch5RXcUlgstNXoynBq/SV/pRpIL7UvefX0SsfNLYujzkMxeqp4tBGXsebM/xRVVUm+93EhbszPJuPFl878Q2hAz3HinonEI7nkpp3bsuAuw4LQ6e1/BZTkVxKzL+u8xncl02g0TJkyhX379hEWFsaJEyeYO3fu6TtKkiRJ0iVMJouSJDXKyc2dDoOGCbHmLKMBcFun2whwDqi+tqgW3tn/jtDG26DjxhZeQuyzpKzqfXxBw3tQ4iEmUv4FgUT9vRnv/3Si0nUilbZOADyWl8+1xWJbRWPCELSAb5IGC4fdtG59iOj4FMzdb8G3azEavX02zlZURM7HnzB82lUsCRNPVC1auZLCP87vcwsIc8c/1E2IRZzj7KLRRU+HgQFCLGJ90jntg5TsPD09ef/99wH44Ycf5HJUSZIk6bImk0VJkk6rx3ixjEbi4YPkpTXfCZpGnZFHej8ixDYnb2ZX+i4hdk8r3xrH4cDhknJ2FNiTvjZ3DsOK/eAWo9aZzGVHKC7Nw2d2VwqUOaiqBh3wYk4edxWIeyMVxUa2yxp+SLfvF/TwzMDRMZnYVjehc9Li00lMMvN//hn37FSOT7qFWLeWwr2MF1/ClJJ6Fp+ESFEUetbau3hiTyYl+ZUN9Ghc99GtqPkB5iSXkHqi4JzHJ1WZOHEiXl5eWK1WNm3adLGHI0mSJEnnTCaLkiSdVou24QSEtxdiB1c3XxkNgAkhE+ju212Ivb33baw19ku2dTIy3kecafss2V5SwuDjjENfcZ9fW+cebPr4c7Q+RtxvnUiJbSpQlTM9lF/If3ML6oxlvzWHZXnG6hnG1q0jOBqfAb1n4dmuBL1zjZNErVYy33qLSb1b81afGVRq7Afx2EpKSHv8cdSzLAJcU2gPX9x97Xs6bVaVw5uSz+lZHv5OhHYT935GrD//Uh9XOkVR6PlP3c1jx45d5NFIkiRJ0rmTyaIkSWekdhmNY1s2UFlW1kDr86coCv/t+18hdiL/BEtjlgqxe2uV0ViXW8TJ0orqa7/JnbE62JeKahUtLQtasWf5bxjDPVEmPINFtSdMtxYV8Vy+H6qqFZ67uVTDojwDVhXcPbJIT9+MacBDaByM+PUQD68p3fI3I4viSPcM4JvO4qxs+cGDpL/w4jkv99RoFHqMaSXEjv2diukcS1/UPmU18Ugueeml5/Qsye7UMevykBtJkiTpciaTRUmSzki7AYNxcveovjZXlBP594Zmfc2uvl25uo2YbH108COKTPbkrL+7Mz1cnYQ2X6TYZxc1Bi0+UzsI9wOdw4n9YxsZMSdwGRxGZZtHhfs3FexjSvkNqDaDEN9bpuPrHAdMNggM2s+J9CLoeyeuQRU4+YpLQUven8eIMG9WtBnMXn/x9Qt//528bxec2YdQjw4DAzC62A8dMlVYObbt3EpfBLR1xy9EnJ09JGcXz5vNVvULCo1G/jUrSZIkXb7k32KSJJ0RrU5PtzFXCbGDa1ai2pq33ML/9fo/jFpj9XVeRR5v7327+lpRFO5tJRbL/SUjj2yTufraqYcf2kBHoU0Pz5H89fG7mCsqcLrlHsy6MOH+0+kbMGY9gM3iLMQjK7TMz3ZA55LNyZPLYcgjKAZn/HoWAfbZQlNMLLfmHARF4e3e00l1Fpd7Zr39NsXnuJ9NZ9DSbWSQEDu0IRmr5ez/t1CUujOVx3dnUlZ07ktlJcjJqSrd4uXldZqWkiRJknTpksmiJElnrPuYCWi09uWZ+WkpJB6JaNbXbOHcgtu73C7ElsUsY1uqvdD91b4eBBntM22VNpUFqfY6i4qi4D1V3HPpbvDFq8SXLT98jaLToZn4snDfWXOAVyrLKUu4D5vJU7iXYNLyYZaRIpZToXWBAffi6GXGPaRcHPvv3+GDiWKDMy8MuJ0SnT3pRVVJm/sYFSdOnN0H8o8uwwOF0helBZWc3Jd5Ts9q29MXVy/72KwWG0e2NN8BRv92qqpy8OBBALp27XqRRyNJkiRJ504mi5IknTEXL2/C+w8WYgfXNO9BNwB3dL2Dtu5thdgLO16g2FRVH1GnUbg7SJxd/DY1h/IaReYNrVxx6iXub+ziOZSoDZuI3b8Hbc+rsPr0E+6PtCyghyGQssT7sFa0EO5lWjR8VVrKmn2fwKAHwcEd3+5FKNoapTTy85mbtR2AFFc/Xu93G7YayxJtZWWk3Hc/lnPY1+boYqDjoFqlL9adW+kLjVZTdTJqDUe3pGIxWRvoITVm5cqV5Ofno9PpGDFixMUejiRJkiSdM5ksSpJ0VnrWKqMRd2AvBZnNW0vOoDXwypBX0Cj2r6zMskze2WevvTgjwBs3nf1+ntnKb5l5wnPcJ4Sg1JiNc9A60tljMGs//5CyokK0U14V2jtoTvBy+V40VjfKEu/FUhoq3C+wang34TvKdUYYNAe9ow3vjmIpje571hBQUjXLecCvPQt7XivcN6emkvLgQ9jO4YTU7mOCUWqUvshNLSUpMq/hDo3oODgAg6P95NaKEjPRu2SNwLOVn5/PI49UlX2ZOXMmfn5+p+khSZIkSZcumSxKknRWWrbviF9IjVk+VSVi7cpmf90uPl2Y2XmmEFtycgk703YC4KLTcmuAuC/w8+RsbDVm2rRuDriOEmfQwtx6oS3TsubzD1GD+qK2myjcb6/7kRsULdiMlCffjrmos3A/z2rjpwOvQP97wdET7w6l6BztM3KKxcK90auqr38JGkDc4PHCM8oPHCDjuefPelbQ3deRNj3FZOTg2nM7nMZg1NF5qFgX8tCGZFTbuZ3aeqWx2WysWLGCvn37EhMTQ4cOHXj77bdP31GSJEmSLmEyWZQk6awoikLPCeLs4tFNazFXVjTQo+k80OMBQtxChNgLO16g1FxV6uHOIB90NWbaYsoqWZ8rlrVwHRKE1tOh+lqjaOjpNYq4/Xs4smENypjnUWvMYOo1yfyfsgNPjQZUPRWpt2Au7CY8c2ncCiw6DQx+GI1Oxa+7+Jr9Ug7TNTum6kJReNR3NErvvkKbwuXLyfv667P6PAB6jhNLX6Qezyc/49xKX3QbGYRGY/8ACzLLSDiS00iPK9Mbb7zBrFmzmDVrFjfffDOjR4/G29ubKVOmEBsby9SpU9myZQuenp719r/22msZMGBAgz+SJEmSdKmQyaIkSWet/eBhGF3t5RYqS0uJ2ra52V/XQevAy4NfRsGe0KSVpvHe/vcAaGk0MMVP/Af6p8lZwrWi1+A+UVxOGuDUhgDHNmz67kvyLG4o3acL9/10i5hTvRVRQ2XOWOF+ggnWHHwe+t0Fzn64tS7H6CUuK30g6k80atVDKtEwb+As9K1bC22y3nmX4o0bT/9B1OAf4kZAmLsQi9yeflbPOMXF00hYX3GmMmJ98jk9699szZo1LFy4kO+++46VK1dy4sQJevfuzVNPPcWRI0dYunRpo8tPIyIi2L17d4M/kiRJknSpkMmiJElnTW9woOuocULs4Oo/z7nQ/Nno4deD2zrdJsQWH1/MnvQ9AHXKaOwsKOVgUZkQc+zigyFUrC3Yw2sUtkozf33yDuqwJ1C19hqLOiWb67Tr6EzVSbCqyRdLqXjgzp+JqymzZMHQuSgK+PcqFO63zkthdNK+6uv1KeXEP/IiGrca41BVUh97nIrjx8/ko6jWeYi4fPT4rvRzKqMB0GOMOFOZdrKArMSiBlpfWRISElBVtfrHZrNRXFxMcnIy69ev57XXXqNLly4N9q/Zt7EfSZIkqXmEhISgKAqbN29utN2IESNQFIUFCxY02OaLL75AURQUReH9999v0nFeSmSyKEnSOekxdiJKjeWaOUkJpEQdvSCvPafnHIJdxaTmfzv+R5m5jK6uTgzxcBHufZwklpRQFAWPq9tSY4ISN4M3YW69yIg5QXJaEUrfu4Q+brpfeRxrdRdzfn/h/r4yDfsOPQ29Z4FbIE4+ZtyCxVIad51Yg9FSWX39/MESfObNgxrlSNSyMpLvuw9Lzpkv/2zTy084nKa82EzC4XNbPurbypXA9uLsbMS6c9sHKUmSJEn/Vt988029//1vI5NFSZLOiZuvH237iAlTxOrmL6MB4Khz5KXBLwnLUVNKUvjw4IcAPBAsLgFclV3IyVJxT6Uh0AXnvmI5jM4eg3HQOHJ8x98w9FEwuFbf0ypF9NKtYApV9RwtxZ2wWexJaYWqsDV7PzmFO2HYYwD4dS9C0dhnilxLC5l2clP1dXphBV+V+dLi2WeEcVjS0kmZ8yC2ykrOhN6gpX0/fyEWuT3tjPrWp+dYMRGPOZBNUW55A60lSZIk6coSFRXF7t27cXZ2xt3dnSNHjrBv377Td7wMyWRRkqRz1nPCZOH65N6dFOVkX5DX7u3fmxkdZwixH6N+ZH/mfkZ4udLVxbE6rgIfJ2VRm9u41igO9lk9g9ZIF8+hnNi9HauDR1X9xBpctMu4j3LcUQAd5oI+wv3tJTqORT6PrdtN4NEavbMVrw5iKY0bY//Gr9Re3uKrrXHkjZmM5y23CO3KIyLIeP7MT0jtWGspalJk3jkneMGdvfAMcK6+Vm0qhzemnNOzJEmSJOnf5ut/DqS78cYbufnmm4F/7+yiTBYlSTpnrTp3xTvIPgul2mwcXv/XBXv9h3o+RJBLkBB7fvvzVFgreLC1ONO2JDOP1Arx0BmtiwG30eIsWhvX7jianEg6EgED7wcnezkOjVJBoO4XZlK1n9Fc0A9Vtc9uJpu1xJelk5j2PYx4EgDvjiVojfZSGlqLiQeP22dgzVaVF1Ycw+/J/+I8aJAwlsLlK8j96qsz+ix8W7niG2yfCUWF6B3ndtCNoij0GCOWGIncnkZlueWcnidJkiRJ/xYWi4UffvgBgNmzZ3P77bcD8NNPP1FR0fwnw19oMlmUJOmc1VdG49DaVRz46w/KCgua/fWd9E68NPglIZZUnMTHBz9mkq87bRztJTIsKnyWXHd20WVQS3TexuprjaKhj894ju/YCg6uMPwJob2zdjXXKnl4oKCavbCWhgv3d5ToiY//mIp2w8E7DK1exa+beEBMn6TD9Mw6UX299WQOa4/nEPjeuxhCxZNasz/4kIoTJzgTnWrNLkbtSMd2jnUS2/Xzx9FVX31trrASufXcl7Ze7nJzcy/2ECRJkqRLwJ9//klmZiZt2rRh6NCh9OvXj06dOlFQUMDvv/9+sYfX5HSnbyJJktSwjkNHsnXRQirLqmr7VZSWsGnB52z+7ktCuvWk45ARhPUdiN5oPM2Tzk3fFn2Z1n4ai48vro59H/k9Y1uP5YHgVsw9bi/98ENaHg+3boG3wf7Vp+g0uF/Tltxvj1XHvBwCSD52AovJhK73LNj5MRRUHfKiKBb8dIu4yTyHL6jEnN8fnYs9mdtfpuUaj3JOxs2j64inYMkduIeWkx/rTEWu/YTVR6L/4Haf/8OiqRrLy39GMfzR4bT6dD7x027GVvjPaaoWCxkvvkTr779D0TT++73wvv5s/+0kFlPVSagl+ZUkR+XRurP3WX6qoNNr6ToiiD1/xFfHDm9KptvoILTaK+f3jKqq8sknn/Dqq68SFxeHo6Pj6TtJkiRdgjZsbHv6Rpew0aNiL/YQAPty01mzZqEoVauLZs+ezeOPP84333zDjBkzGut+2bly/saXJKlZGIyOdKlVRgOqlqTGR+xn1cfv8Ondt7Lqo3nEH9yHzWqt5ynn55Hej9DS2T6rpqLy3PbnuNrHkRYG++xYuc3GVyl191Q6tvfC2EVMqDq5DCB+1z7QOcBI8QAaJ81mpiupuACWkg7YzPbyFyZVYX+pjqysFRQEBoNfJxQFWvQupGr3ZBXfvHSmxm+vvk4tKOeTTTEYQkIIeOVl4fXK9++ncOnS034ODo46wnqLh/tEbjv32cAuwwPR6e1/TZTkVxK7v+7s7L9VZWUld955J1988QXbt2+XiaIkSdK/xMiRI6vLXtT3s2XLlnr7ZWZm8tdff6EoCjNnzqyO33bbbeh0OjZu3EhCQsIFehcXhkwWJUk6bwOvn07bPgMavG+urCBq22Z+f+MFPr9vJhu//Zz0mONNVlPOWe/MC4NeEGIJRQl8feSzOnUXv03NocRSN2H1vKYtVo09rtc4ULnhn5IbXW8Ev07V9xRFpYXue67DAGgxF/QVnrW9VIeqQvTJF1FHPAWAo5cZjzZivcf/nFiHZ4V9ieoXf8cRn1OK65gxuIwcKbTNeuttLHl5nE6nweJS1IRDOZQVmRpo3ThHFwMdBgYIsf2rE7FZz62G4+UkLS2N4cOHU1hYyI4dO2jTps3FHpIkSZLURMaPH8/MmTMb/PH396+338KFC7FYLIwePZrgYPuZB/7+/kycOBFVVRutzXg5ksmiJEnnzcHJiamPP8tdn3zDkOkzhUNvaisrLODg6j9Y9Mxcvnn4bo7v3NokYxjYciDXh18vxBYeW0hPQwYeOvuJpwUWK9+n1d1/pnVzQNvXVYh5VPpQcjgDNFoY/T/hnqN2L7OUkxipe9BNullDgklDaWk0qW4l0LInAL7ditHo7YmWvrKCB07YDwQyWW28+EfVctgWzz6DUmMmy1pYSNbb8077ObRo645nC6fqa5tNJXrXuR10A9B9dCuhHmVeWilHNqee8/MuB7t27aJfv35MnjyZX3/9FRcXl9N3kiRJki4bTz75JAsWLGjwp0OHDvX2O5UIzp49u869U7EFCxY02S/DLwVyz6IkSU3GzceP/lNvpN+UG8hOjCdq22ait2+hJK/+w0EKMtL584O38GkVgndQq3rbnI25feayLXUbmWVVM4I21cbru57nti4f8lGyfVbu8+Rsbg/ywaHWHsCWk3sQuWM5Hlr7bGTe0hM4dfBF0248tBoAybuq7wXqv2eK6UUWW9yxlHRA7xpVfW9HiY5QBxOxce/gf9X76L+9Fp3RjG/XYjIPuFe3Gxy3l46B/YnyDgFg8/Fs1kVmMq5zIL4P3E/WvHeq2xYuXYr7tVNx7tevwc9AURQ6Dm7JjiUx1bGo7en0HBtcvbfibHj4O9Gunz8ndmdWx3b/EUdYHz+c3R0a6Xn5sVgsvPvuu8ybN4+vv/6ayZMnn76TJEnSZeJS2fN3udqxYwdRUVV/z7/33nvMnz9fuG+xVJ0YnpiYyIYNGxgzZswFH2NzkDOLkiQ1OUVR8Atpw/Bbb+euT77hxudeo8vIcRgcneo2VlVi9u2qGz8HrgbXOstRYwtjyUz9AscaiWGGycyvGfl1+mt0WorblWNT7bN/mnKF4g1JoCgwRny2gyaSezSH0QPmfHEZbkS5llIrWCwFxJVtgFHPAuAZVoqDu1lo+/jxFWhqvOaLf0RSbrLiNXMmDuFhQtuMF19CNTW+rLTDgBZotPbEsCCzjPSYwkb7NGbQdWEYjPbZWXOFle2/xTTS4/Jz6NAh+vfvz9q1a9m1a5dMFCVJkiRBzTqK+/btY/v27cLP7t276217uZPJoiRJzUqj0RLcpRvj732I+774gcmPPkWrTl2FNqlRR5vs9YYEDmFq2FQhtilhOb0dMoXYJ0mZWOtZJtJmdH9OFu0XYsVbUzBnlELrgdBugnCvle47JqHBWhqOzeRRHTerCnvLqhZvpKT+SHG3cRAyFEUD/r3FxC0gK4mrEvdUX6cWlPPp5hgUvZ4WL74otDXFxpL7zbeNfgaOrgZCu4t7Nc/noBtndwf6XSPu2Tu5N5OU6NPvobzUVVRU8MwzzzB27FjmzJnDunXr5P5ESZIkSVBaWsovv/wCwNatW1FVtd6fY8eqtpIsXbqUgoKCizjipiOTRUmSLhidwUC7/oMZfcf9Qjz1eGSTnpL6VL+nCPMQZ+SiY19DV+M00vhyE39mF9Tp6xfalmTDScosNWoj2iB/aQyqTYVRz1FzE59ek8j/abeiRYO5oL/wrB0lVQfdgI0TMa+gTv0UjB44+5lwCy4X2t51Yg0uJvsBOJ/9HUdibilOvXrhceMNQtucTz/FlJxMYzoNEQ+miTmQRWWZuYHWp9d1eCA+rcS9e3//fAKr5fI97Gbbtm306NGD48ePc+jQIWbPnn1OS3UlSZKkf7dff/2V4uJiQkNDGTx4cIPtOnXqRK9evaioqGDRokUXcITNRyaLkiRdcF6BQTi62fftmcrLyU6Mb6TH2XHSO/HByA9wNdgPrFEsOTiVi8tdP0rMqrMJXVEUwgcN4kDueiFuSiyidF8GtOgC3aYJ94J1P3I1ZswFfVBV+9dqlkVDbGXVdUHBbrIqD8Hk9wHw61GIorUnWg5lxdwTs87+ehYbL/4RCYDvo4+i9fSsvqdWVpLx0suNbqBv1cELVy97bUur2caJPZkNtj8djVbD8OnthVh+RhkR65PO+ZkXS3FxMXPmzGHatGm89tpr/PbbbwQEBJy+oyRJknRFOrWs9NZbbz3tLxVvu+02oc/lTiaLkiRdcIqiENSxsxBLjjzSpK8R7BbMG0PfQKkxC6jNXwo1EqyjJeVsyiuu07f9oGGklp0ktfSkEC/8KwFriQlGPwc6+0mlWqWAx3TLweqKpVh8X9tL7eeInYx5HWuH8dDjVvRONnw6lQhtR5/cTmihfbnoxugsFu5IoNzRBb8nnhDalm7dSvGatQ2+f0Wj0HGwmABFbj/3pagALdq413nmvlUJFOWWN9Dj0rNq1Sq6dOlCeXk5R48e5brrrrvYQ5IkSZIuYbGxsWzdWnVy+6233nra9tOnT0en07F//34OHz7c3MNrdjJZlCTpogjq2EW4Tok61uSvMSxoGHN6zqm+1lnSMZTvE9p8lFR3ts2nVWt8WrXmQN56LDb7YTJquYXClfHgHgSDHxL6BGlXcIOSizlfXIp6uExL8T8rbCsrM0hI/AyuegM8Q/HqUILexVLdVlFtPHHiDyGh/d+KY/R8aR33ZvlREC5+ZpmvvYa1REw4a+owMICavwDNSS4hK7GowfZnYuC1bXFwtifAFpONbb+cbKTHpSEnJ4fbbruNOXPm8PXXX/P111/jWWO2VpIkSfr3S0hIQFVVRowY0Wi7zZs3o6oqs2bNom3bttV7Etu1a3fa1/D398dsNqOqKt26dWuikV88MlmUJOmiqJ0spkYfQ7U1/f63O7veyahWo6qvnYr+EO7vLChlX2FpnX7tBw2jzFLE0fztQrzsYBYVMfkw+P/A1T7LpigWHtf9hLWsDTaTd3XcisKeGrOLSUlfYlLMcP1XaHRa/HuJh92EpJ5kVFqEELPYVHbF5/NE8FWYFfuppJasLFLfea/B9+7qZSS4s7cQi9x+7jUXARxdDAyc2laIxR/KIeFIznk9t7lUVlby5Zdf0rVrV3x9fTly5Mi/5jhzSZIkSWpuMlmUJOmi8AlujYOzc/V1RUkxOSlNv/9No2h4dcirhLqHAqA3xaMvF09f/TCx7uxi+0FDAThRtI+CyizhXsGyWFTFEUb/T4j7aXcwS4nBVGt2cXuxHts/k4U2m4mMzOUQ1AdGPIlry0pcWlYI7R88vgpHsxgDSHb1Z0n4CCFW9NNP/N+LP/HJphhOZNZdUttpcEvh+uSeDMyV53eYUKfBLfEPdRNiWxefwGJqukOKzld+fj6vv/46oaGh/P777yxfvpx3330X5xr/PydJkiRJUuNksihJ0kWh0WgJbN9JiKU08b7FU1wMLnww8gOc9VWJQu3ZxbW5RUSViPvuPFu0xL9NOCo29uWuEQ6TseSUU7Q5ueqgm5Y9hX6P6L/DUtgT1WafAcyzKZystH/dpqb+XPW8IY9CqwH49yxE0difbyzK5yfHSGYPDqGNj5jc/NR+DOlO9tlCLSqj/vqGd1ZHMe69v3l37XGhfetu3ji66quvTRVWYg+Iye/ZUjQKw6e3F5a4FuVUsH9N4nk9tykkJibyyCOP0LZtW6Kjo1mzZg1//fUX/fr1u9hDkyRJkqTLjkwWJUm6aIJq1Vtsjn2Lp4S6h/L6kNcB0FdGoquMFe5/klQ3gerwz+xibmUascURwr3izcmYcytg/OtC3F0TxyNEYCkW39u2YnvCVlYWQ2HRAdDq4LovMPg449Ve3HvosOwXnuzsxMbHRvD34yN5eUpnRnfwQ2s08kn3a4W27QpSmBi/E4CPN8WQlGsvwaHVaugwsNZBN+dRc/EU32BXugwPEmIH1yRRkFXWQI/mFRERwS233EKvXr3Q6XQcPnyYhQsX0rVr19N3liRJkiSpXjJZlCTpoql9ImpK1NFGy0Gcr5HBI7mv+30o1J1dXJqZT2J5pRBrN3Bo9X8fzt9CuaVGQmdVKVgWgxo8ADqLydtdup/R5IszjkcrtBRa7VNxqamLq/7DszVMegefTiXoHGss47RYyHz9dVRVJdjbidsGhvD1rL4cfH4sjzw9k5RuA4Xnz4r8C6/yQmwqfLUtTrhXeylqemwheel192merf7XhOLoZqi+tlpsbP35RLP+b1iTqqqsXbuWsWPHMmnSJHr06EFcXBxvv/02QUFBp3+AJEmSJEmNksmiJEkXjX9oGHoHey3AssIC8tNTm/U17+1+L8ODhmMoP4DWbH8tK/BpcrbQ1s3Hl8AOVUtlzbZKIvI2CvcrYwspO5gFY14ErUN13FHJ5xnzIayVftUxFdhdYl+ampm5Eovlnz2G3W5C0+sG/HqIh92Ubt1KyaZNQsyo1zIk3IcRH72Opsb+O2dLBXcfrUqAf9mXTF6p/RRXD38nWoZ7CM+JOs8yGgAOTnoGXx8mxJIi84g7mN1Aj/qtWrWKv//++4zbm81mfvjhB3r27Mmjjz7KLbfcQnx8PI8//jju7u6nf4AkSZIkSWdEJouSJF00Gq2Wlu07CrGUqKMNtG6i11Q0vD70dULcgnEq+lO4tygtm2yTWYi1HzSs+r+TSqPIUzOE+wVLYyiNcUAd8IAQn6ZdhVO+eOLr1mJj9UE3qlpBRmaN2c2J83Dr6oOTrzi7mfnqq9jK6i7t1Pv74/t//yfEhqdG0CvzOBVmG9/tTBDudRoizi5G78rAajn/02fb9fOvk4hu+/UkpgpL/R1qKCkp4a677mLOnDmnTfIKCgpYvHgxM2fOJDAwkK+//prXXnuNI0eOMGvWLAwGQ6P9JUmSJEk6ezJZlCTpoqpTbzGyeZNFAFeDKx+M/ADPykNoLPaSDyZV4f148ZCWdv0Hoyj2r8qdKcvBPkGIaraRv+Qk+TnXY3NqVR3XKSb+VxaNarOXzShWbURV2J+VmPi9/UGOHijXf4l/72JQ7Ms4zalpZH/8Sb3vw/OWGRg7iYcE3X94KVqble92JlJe43TStj19MTjax1JRYib+0PmXu1AUhWHT26HR2JfYluRXsm9lQqP9du7cSY8ePbBarURERNC9e3fhvqqqHD16lDfffJPhw4fTqlUrvvvuO/r168fu3bvZtGkTEydORKl5yo4kSZIkSU1KJouSJF1UQZ3EZDG5mfctntLWoy2vDXkJx6K/hPiC1Bziiu1JlLOHJ6262IvqllgKyA/Ir/O8skP5ZJk/wGxrXR2brOzCrShUaLe+0LF6drGi4gRFxTWS49aDME5+CM9wcT9h3oJvKT9a9/AfRaulxYsvUvNY0sDSHCYk7iav1MRvB1Kq4zqDlvb9/IX+kU2wFBXAu6UL3Ue3EmKHNiSTm1ZSp63ZbOa5557j2muv5a233uKbb77Bza2qDEdZWRkrV67k/vvvJyQkhEmTJpGYmMgTTzxBZmYmK1eu5IEHHiA0NLTOcyVJkiRJanoyWZQk6aJq0bYdOr19CWFJbg5F2XXrHjaHMa3HcH9IKIq1qDpmVYxM3f4bqSX2/YwdaixFBdgXuwqPG8JR9OJXqKXYQJb5PUotYziV7z5REi+0iTerfJXjQPk/K0Dj478X7jPiSXzHhqBzqrGM06aS/txzqGZxiSyAY9cueNx4oxCbEb0OB0slX22Nw2qzJ96dhopLUZOj8ijKEUuGnKs+k0Jw8bTv27TZVP7+STzsJjo6moEDB7J//34iIiKYMmUKx48f55NPPmHixIn4+/vz1ltvERISwqpVq0hISGD+/PlMmjQJJyenJhmnJEmSJElnTiaLkiRdVDq9noDw9kKsOUto1PZwz/voqEQKsSxDX25c8zjH86pqFob1G4hGa1/CmZeWQplPGX5zeqDzE5MYVTWQb3mYfPMj2FQHppjjcK0Q9+NFVmh5L9NIplkhO/tPrNYaexK1erSTXiagj3jYTWVUFHkLF9b7HnweeADFaD8oyKuymKmx20jMLWPNMfseS58gV/xau9YYLETtTG/k0zlzBqOOITeGC7G0kwWc2JOJqqq89dZbDBgwgLCwMAIDA5kyZQru7u6MHz+ePXv2MGvWLJKTk9myZQtPPPEEnTt3lktMJUmSJOkik8miJEkXXWCtfYvJkUcu2GtrNVp+HTwDJ7VGcqZoSXaayMzVs9iTvgdHF1dCuoulMI7v+Bu9vzN+c3rg1Nuf2spso8kyvYfF1pr3stNRLS7C/SyLhvcyjURWmEhOXiZ2Dh2OS/+euAWLB9tkf/QxpsS6he/1/n543XabELvx5CZcTaV8/necMLvXsVYZjegd6ai2pln226anL8GdvITYjiUx/N9DD/Pf//4XvV6PzWajZ8+evPPOO6SmppKQkMDChQu56aab8PDwaJJxSJIkSZLUNGSyKEnSRVe73mLqBZxZBPA2uvFBZ3EMZmMX8nTtuHf9vayOXy2cigoQvWMrqqqiMWjxurEdnje0q7ssVQ0my/QOXSp6MC0pDGu5WPuvQlX4KseBTw9+jE2tcTKposCI/+LfqwitwR5XKytJf/5/9e7p9L7rTjQ1ThR1tlRw04mNHEouYE98XnW8XV9/dAb7OEvyK0mPFWcxz5WiKAy9uR1anf35ZUUmbh41hy1btnDLLbewY8cOPv74Y9atW0dSUtIFq8koSZIkSdLZk8miJEkXXct2HdBo7UeMFmSmU5x3/id1no2r/bwZ4iHO/pV4zMBkU3n878fZ55Ig7K0sys4kI+ZE9bVzH//6l6ViJN/yMPeaw/FOmIa5oFet+wqriop5cN1dlJlrzCS2GYkurA9+PcVErmz3bgp//73O+LVubvjcdacQuyZuOz7lBXz+d1x1zOCoI7Sbj9Du5L6m2yPq4edE9zHiYTeHN6bSs0s/3n//fZKSkvj6668pKSnh6quvpkOHDjz77LNERETIxFGSJEmSLjEyWZQk6aLTOxjxbyvud7uQ+xahalbs5fBA4UvRpven3HU8AG8ffhdLqLj3MHqHWEi+ellqL786z6+0jeQb3PFNn0ZFxtWoqvj1+3f6Hm5ZdQvJRcmnBgQj/ot7SDnO/hVC28w338KSXbfwveett6Lzs7+2wWZhRvQ6NkZncTKzuDoe1kdcNht7IAub9fxrLp7Se0JrHN3sibXVbGPn0lgANBoNAwcO5J133iEhIYEffvgBs9nMddddx/Tp05tsDJIkSZIknT+ZLEqSdEloVWvfYmpU89dbrK2jiyMzA8VZtzL3KVg1VUniJmfxIJzjO7dis1mFmMagxeum9nje0A40YgLmiA8fYEDJH0J50u1obWIh+ZiCGG5eeTM7UndUBdqORgnqQ4u+hSha+7NsRUVkvPpanfFrjEZ85jwgxMYl7iGoOIsvaswutu7sLdRcLC82k3q8oL6P5JwYjDoGTGkjxE7uzSQjTpwlVRSFvn378uabbxIbG8u3337bZGOQJEmSpNpCQkJQFAVFUXjqqacabXvLLbdUtx0xYkS9bUwmE5999hnjxo2jRYsWGAwGfH19GTJkCG+++SbFxcX19rucyGRRkqRLQlCdQ24ufLII8HhoCzx09iWxqsaRMo+q0hQpfuWYayRtpfl5pEZH1nkG/LMs9YEeaBXxtFE/HBiNDmtZGMXxD+GnFU/8LDIVcd+G+1hwdAEqwIgnMbhY8e0q/oVTvHo1xRs31nldj+uuwxASUn2tRWVm1F8si0gls6hqhlKr19CmR/MtRQXoMDAAn1bist5tv55s8DAdRVFwdHRs0jFIkiRJUkO+++47rFZrvfeKiopYunRpo/2PHj1Kx44due+++9iyZQsdOnTghhtuoFevXkRERPDkk0/Stm1btmzZ0hzDv2BksihJ0iWhZftOKIr9KykvNZmywoILPg4vvY7HQ1sIsQqX4ZgNoVi1Kkn+4gmlx2stRa3JEOiOWx8Fo2aXEL+dqr+crCYffPOupqejRbhvU228s/8dntz6JOUhg6FlL7zalWL0MgntMl58CWuJWPhe0enwffhhITYk7QihOYl8s91e8zG81lLUuIhsrOamW4qq0SgMuUFcWpwZX8SJvRemhqYkSZIkNaRPnz6kpaWxbt26eu///PPPlJeX07dv33rvx8bGMnToUOLi4rjxxhtJTk5m8+bNLFq0iDVr1pCZmcnDDz9MdnY248aNY9euXfU+53Igk0VJki4JySQvlgABAABJREFUDk5O+IWKSxdToi/svsVTZrb0oZ2TUYiZfe5ABeIDxGTxyOb1bPv5OypqJW2nOE68FkfdbsCeiAXgSvd/vn53pw1knNGNq91NKIizbqviV/Hk1qdQh/8XRQMBfQtAsbexZGaS/e67dV7Tdfw4jF3EmdrZx1ayaGcixRVmAAI7eGJ00VffryyzkBSVR1MKbO9Jmx6+QmzXsljMpvp/kytJkiRJF8KsWbMAWLBgQb33FyxYgFar5bZaZalOue222ygoKGDKlCn8/PPP+PmJZxU4Ozvz3nvv8fDDD2MymZgxYwZms7kp38IFI5NFSZIuGbVLaKRchH2LADpN1WE3NZXqWuPrdyNpvuVU6uzJjs1sZvfSX/jqwTvYteRnTOViMqlx1KH2uhOjZrcQn0NVOxUNf8ZfxRg3C3f7VGJEK7TbmLyRY16B0LInRk8L3h3EpDR/0U+UHTggxBRFwW/uo0KsR04s4SmR/Lyn6gAdrVZD21oH8Zxshlm/gde1RVNjqW1JfiUR65Ka/HUkSZIk6Uz179+fTp06sXz5cgoKCoR7x48fZ+fOnYwfP56AgIA6fTdt2sTOnTvR6/XMnz8fjabhdOq1117D19eX+Ph4Fi1a1NRv44LQnb6JJEnShRHUsSv7Vy6vvr7QJ6LWNNzLlfE+bqzJKaqO5btdR19dFsdbH6JbrHgyamVZKdt/+YEDf62g39Qb6T5uInqDAwDOU8ajJK6hosb2xQ740JIS0oDd6b2ZFLqWji6ZPOhlYVFFEKllqdVtfz35G12G/xd+uhmfzsUUJTtiLrF/fac/+xyhy5aiMdgPzHEeOBDnQYMo3bGjOjbr2Cpe39qVmYNCMOg0hPfx49jf9teJP5yD2WRFbxAT1vPh4edEt1GthATxwJpEOg5qiYunQ5O9jiRJktS4FpsiLvYQzkvGyB5N+rxZs2bxxBNP8NNPP3HfffdVx0/NNs6ePbvefitWrABg3LhxtGzZstHXcHR05KabbuKTTz5hxYoVzJw5s2kGfwHJmUVJki4ZgR06CdfZifENLu+8EF5oG4hesc+KZZgstG3zFK6jurGrUx7lhrrLKcuLi9jy/dd889BdHFq3CqvFjKIoOE27E51i3zOooGEuVcs+VTSsiL0KgEDncoYUinsm/4r/i6KQQRDQHY3un+WoNZji4sj97PM6Y/F9VJxdDC9MJTxqD38cSgMgIMwDZ3d7gmmptJJ4JPdMPpqz0mdiCI6u9iWvFpONXctjm/x1JEmSJOlM3XbbbWi1WmEpqtVq5bvvvsPLy4trrrmm3n779+8HoF+/fmf0Oqf2PZ7qd7mRyaIkSZcMR1c3fIJD7AFVJfV4/aeNXgihTg7c3Urcc/d5Sg5jw/9DdEgxS0aksr99PiZ93YNhSvLzWP/VfL595F6ObdmA6tcB19YpQpt++OH8z17GvZm9SCmuWu4S7haLt9mjul25pZw/41bC8P8C4OxvwqNNqfCsnC+/pPLkSSHm2KUzrldNEGL/iVrN15tPoqoqGo1CWG/xoJuYJj4VFcDBUUe/yeJ+1OO7MshMKGqghyRJkiQ1rxYtWjBhwgT27NlDVFQUAGvXriUtLY0ZM2ZgMBjq7Zf9T51jf3//eu/Xdqpddj31kS8HMlmUJOmScqnsWzzl4db++BrsSz4r/p+9+46yqroeOP69r03vlRkYZpgZeu+9qCBFwN4LlsQo0aiJiUnUkMTE8otdo1FUBGyIqBRBEAEB6b1OY4Y2TO/tzSv398eD9+ZMow3V/VnLJWffc8+9b1yL555zzj5OnQXlEQR7BWM36exKLGPuyCPEjh6C2bvh0Q+lebks+e+rfPz7qRxpm4yBEvc1DV+e1DzLQL89PrsYFnaMbpUJyjhfpn6J3n4cRHcDILJnGUbvOjObNhvHnn4GvV4Z8IhHHwWjZ1lpbGUBbTcuZ1Wq60srqZ+6bzFrdyG11Wp11pbQeUgrQmP8lNjaL11JqxBCCHEh1C90c+LfJ+It4cT3nN3e8t+t54PsWRRCXFRad+rK9u8XudsXOlkMMBn5S7tWPL7/sDu2ML+Mia1vYn3G+wDUmnX2J1v5483T2fjtXHZ8vwi7TT3moij7CAtnfMyohFFE4lm6cqUexnM4sGNka15PDpa1pm3gEdr7l/KTbsCpuWYe00vS2Za/nd4jnoIv7sBo0YnuU8rRtaHusap37KD4s88JvfMOd8wrIYHgG26gZM4cd+yOlGX874fRjOwQSVR8IAFh3pQXus5gdNicZO4soMMAdSns2TIYDQy9MZn5b2x3x45llJK+Ja/BMR5CCCFaXkvv+bscTJo0ibCwMGbNmsWTTz7Jt99+S7du3ejTp0+T94SHu84pzs09tZU4eXl5AERERJyk58VJZhaFEBeV1p3UIx9yD6Q3qDB6vt0SHUr3AHXWcJdhCDqe/Yw/HvoRi78fI++6n/vfeJ8eo8djMDb8fdy6Q5sAz28XNaJ53JDibp+YXWzXKpOOlerSzTmpc6DjBIhyzS4GtK7BP7Za6ZP/2mvYi4uVWPjUqeh1ltOE1ZQRvXw+u46Uomlag2Qt7RwsRQVo0zmU+G5hSmzdvAzsNjlKQwghxPlnsVi4/fbbOXbsGPfeey9Wq7XJwjYnnEgkN2zY0Gy/EzZu3AhAjx49zu5lLxBJFoUQFxW/4BBCWnmOrdCdTrJT91/ANwKDpvGv5NZKLMtqhKCr3e1iazFbcl2b1/1Dw7jqgYe577V36TLiKjTN81dtjaOCakumMtYk3R/z8QRyR343Mkvj8PauJEFXq4UuzVpKsbUERvwRAE2D6D6lGOrsmXRWVFD4v/eU+8xRkYTfc7cSuzn1R2Z8vwOA5HpLUQ/vKaKm8tycBzX4hiQMBk+SXV5Uw47lh5u5QwghhDh3Tiw5XbhwISaTiTvuuKPZ/icK3yxbtozs7Oxm+1ZXVzPn+MqepgrmXOwkWRRCXHRad1ZnFy/0UlSAfkF+XB8VosQqgm7Aqfm628sOLlOuB0VGM/bhxxh+p/pbylSnWuhG07vya4PnrMQTs4s9wnMJqw12x21OG9+mfwsdr4FI195Os6+T8C7lynjFn3yCrd4XWNgDD+D083e3/e01BH/zGYcKqwiL9Sck2vM5nE6dA9vOzUb8kGg/uo5Uz7DcsvgglaXWc/I8IYQQojm9e/dm6NChhIWFcdNNNxEZGdls/yuuuIL+/ftjs9l4+OGHcTobFrk74S9/+QsFBQVER0dz1113tfSrnxeSLAohLjr1l6JeDMkiwNPtWuFT5/DdGrypCprsbv9w8AcczoZLKpP6DlTaqQe2YPIvUGK3YcCCazZvV0EX0kviCQ8/QrsqNbH6MvVLnBru2UWAkORKTL6e5+o2G/lvvqXcZwwKIurBXyuxiRlr+HThJjRNI+k8LUUF6DchAS9fzxJdm9XBhvkHztnzhBBCiOasXr2agoICPv3001PqP3v2bIKCgvj222+57bbbGlQ6rays5IknnuC1117DZDLx0Ucf4evr28RoFzdJFoUQF536FVFz0lOx1V74macYbwu/jVN/41gdcDU2i6tyaWFNIdvztze4Lzi6FaExnmWsToeDigRvpY/mHMw9htXu9rfp4zEYnPTws2JyeqqZHio/xIZjG6DTJIh0nUtpMEJEV/UYitJvv21wlEboXXdiC/HsGfRy2vH9fAaVVjvJfdXPdTSl+JzN9nn7mek/Ua32uu/nY+QfKm/iDiGEEOLikZyczE8//UR8fDxz5syhdevWjBo1ijvuuIOxY8cSHR3Nq6++SlBQEF9++SVjx449+aAXKUkWhRAXncDwSAIjPDNdDrudnLSUZu44fx6KiyTWy3PAPJqR8rCH0DXX/sL6S1FPaNdHPbw3tXAPRi9PcRodb+7VavDCVUV1b1FHUooSaRedRYfKROXeL1O/BIMBhj/pjgXFV2MJrFOW2+kk79XXlPsMPj7EPPpbJXZF1kZW/LCZkGg/wtt4lqnqOmRsPXdnQnUZHqssfUWHNXKUhhBCiEtE9+7d2b9/P2+//TbDhg1j7969fPHFF3z//fdUVFQQFRXFvn37uPbaay/0q54VSRaFEBelhuct7rlAb6LyNRp4vr1a7MZhbkVF8K2AK1l06g33LyT2VpPFzB1b8B2kLjHVHFdyl+EHd/vbjPH4+pbRzqGeT/jjoR/Jq8qDztdCREfXvQaI7K7OLlb8+CNVW7cqsbCbbqQ8IsbdNupOrO+9A9CgKmr6OVyKajQaGHxDkhLLTishc3tBE3dcXJxOJ3FxcWiaRmRkJDbbqRcEWrp0KZqmoWkajz322Ll7SSGEEIqsrCx0Xadv376n1P/GG29E13VWrlzZ6HUvLy8efvhhfvjhB3Jzc7Hb7aSnpxMTE0Nubi5PP/30Jf9LUEkWhRAXpYZFbnZdoDdpaEx4EHe2Uo+AqAm4Cqt3d/Kq8tiZv7PBPTEdOuFdp8BMTUU55a2caAbPXkMHEfzKkIsvrjMPU4qT2V+UTKewHFpZPeczOXQHX6d93WB20T+2Bp9w9XzHvJdfUb6oNJOJwIenKn06p2zk8IatJPVRl6IeyyilvKjmpD+PM9W2axhtOocqsXXfZOB0XvxfrEuXLuXwYVcV1/z8fBYsWHDK93744YfuP8+ePZva2tpmegshhLiUJCYm8sMPPxAREcGHH37I448/fqFf6axIsiiEuCjVL3KTnZqCw35ujnM4E39PiiHBx6LEKsJ+hdPgzw8Hf2jQ32A0Et9TPeT3wO7N+PZUk07NMZq7jUvd7a/TxxMZeYgu5clKv7lpc13FdLpcB+HtXfdqDWcXq7dsoaLeb0Q73HItR8PjlNjBl14hMNyHqIRAJZ6+Oa/BZ2kpmqYx5MYktDpHaZTkVpGx9dw9s6WcSPhiY2OV9skUFxfzzTffoGkarVq1orCwkPnz55+z9xRCCHH+derUieXLl/O3v/2N4OBgMjIyLvQrnTFJFoUQF6XgqFb4hXhmney1VnIy0i/gG6n8TEbe6tQWoyfPwWkMpjz0PpYeXNbospP6+xYPbN2E/4h2SqxW78wDhr34UwVAekkiWRWxxHtX4eX07JXMqcxhbfZaV3WbIY+5476RtfjFqEl1/iuvojs8M5iawUDZnQ8ofcL2bKFy46YGS1HPZVVUgLAYf9r3V5+5+bss9It4drGoqIj58+ejaRqff/45RqORJUuWnPS8LYBPPvkEq9XKiBEjePTRR4FTTzSFEEJcOrp168a0adOYNm0aiYmJJ7/hIiXJohDioqRp2kV7hMYJfYL8+F1bNdGp9e1HJonsLdzboH9Cjz5odY7eKDxyiErK8Wqn7kk0OEZzr3GJu73s4Chiow/Qp1z9ecxJcR30S7ebINCz/zGyezHUSWKtaWmULVyo3DvsjonsDlcT1YMv/h+JvSOUe/MPlVOSW9XIp285fca2VZ5ZlF1J5o6Ld+/i7NmzsVqtjBw5kqFDhzJmzBgcDgczZ8486b0nEsN7772Xe+65B6PRyNKlSzl69Oi5fm0hhBDitEmyKIS4aF3sySLA422j6Rmgnp1UEXIXczJ/atDX29+f2I6dldiBrRvxHx6vxKqcw7jfuI5AKgDYktsDh5eV9jVqYvrTkZ/IrsgGkwUGPux5TrCdwHZ2pW/+62/grLM3LiLAm13j7lD6aHt2oW9bR2xysBJP33JuZxdDov1IrrdfctN3mRdtUYCPPvoIgClTpgCuxK9uvCk7duxg27Zt+Pv7c8MNN9CqVSuuvvpqHA4HH3/88Tl9ZyGEEOJMSLIohLhotalX5CY7ZS9OR8ND7y8ks0Hj7c5xWDRPBVTd4MPsklbYnQ2rorbr3XApqnf7EExhdfc/mtAco7jftNg1HgZ+PDyc0LADJFrbeJ6DzldpX7kafe4B72D3tYhOhWD0/BVvy86m5PPPlWcPnDSKDVGdlFjea681KHSTdg73LZ7QZ3y80i44XMHBXYXn/Lmna9u2bWzfvp2AgABuvPFGACZPnkxYWBipqamsWbOmyXs/+OADAG6++Wb8/FyzyaeaaAohhBAXgiSLQoiLVmhsG3wCPAVXaquryT+YeQHfqHGJvt78JUFNsCpN8UxLabgUNbHevsXDe3Zhs1bjP7SNEq90jONew3KCcR1U/9PRQQRGHGJAcQ+l37y0edicNvAKgP6/csct/g5COqrJasE77+KoqHC3r+gYydxeE3HWWQNam5pKRME2pehMUXYlhUcrOJfCYvxJ7BWhxDZ9l3XRzS7WTfh8fV0zyhaLhdtvvx1oev9hbW0tn376KeBJEAEmTZpEWFgY6enp/PRTw9loIYQQ4kKSZFEIcdFqbN/i4b0XzxEadT0YF0u0fkiJfZhTy85ydb9fSKtYgqNbudtOh52sndvw7R2F5m30xAnC6BzAgybXXsNquy9biroSY3Lgq/m4+xVUF7Dy8EpXo/+DYPJ2XwtPzsHg7ZmxdBQXU/ShZwbL22yk+4i+rGrdU3nH8nffpE2HYCV2rgvdQMPZxbysMg7vKzrnzz1VVquVzz77DFATvrrtL7/8koqKhon1N998Q2FhIcnJyQwdOtQdt1gs3HGHazmwFLoRQghxsZFkUQhxUWvdqYvSPrJvzwV6k+ZpmsbjsRqaw3N0hRMDU/cepNrhVPrVn108sGUTBi8jfn2jlXiFYxL3Gb6jt5YKwA8HR2CK2sGomoFKP3ehG/8I6HWXO27ydhLaXX3PwhkzsBd4isfc0DuWWZ2uxq7VWbJ6+DAxzizlvrTNeed8li+iTQDx3cOV2OaLaHbx66+/pqioiOTkZIYMGaJc69WrFz179qSiooI5c+Y0uPdEInhin2Nd9913HwBz586lvLy85V9cCCGEOEOnnSxqmna7pmmrNU0r1TStQtO0zZqmTdU07YwST03TfDRN+6OmaZs0TSvRNK1K07RMTdO+1DRtyMlHEEJczmLrzSwe3bcbvZG9gBeDa+OHE1w8Q4mlVVl5LkM9UqHBvsVtm3A6HfgPjlGqgtr0BHS9M+9YXiOCYvKqIzhq8KNrbrxy//pj6zlYdtDVGPxb0DwzlKFtDmIM8ne39aoqCt55193uHReCJS6OJfEDlDF9vvkvhjrngpTlV5N/6NwnMn3rzS4eSy8lO7XknD/3VJxI+EpLSxk6dGiDf3Jzc5V+Jxw5coRly5YB8Pnnnze4b+rUqRgMBiorK/niiy/O74cSQgghmnFaCZ6maW8DnwB9gdXAMqA98BYwV9Pq/B/KqY2XAOwEXgTigFXAQiAfmAyMOp3xhBCXn4i28Xj5eo6WqKmsYN4L0yjNy7mAb9W4IK8gRgRb8K5YpcQ/OFrAyiLPjGNsx85YfDwVVKvLSslJT8MU6o135zDl3grHJKK0Ev5reR0zdpYfHo4lNJ1uPmpV1bmpc11/CImHrte740azTngfk9K3eM4cag8fBlwzndf3as2nHUZTY/Sc46jlHqFVgJocpm0690tRo+IDiesSqsQ2fXfh96kePnyY5cuXA5CXl8fatWsb/HPs2DEA1q5dS2pqqvveGTNm4Dz+C45du3Y1eu+J67IUVQghxMXklJNFTdNuAB4GcoDuuq5fo+v6dUAysA+4DvjtaYznhyvZTAL+CbTWdX2yrus367reH2gFNFzLI4T4RTEYjMTWW4qatWMrM/4wlc0Lv77oqqOObjsav+LZGOxqBdHf7TtEkc11nIXRZCa+Zx/l+oGtmwAIGBKrxGucA6h1xtPPkMozplmkFCeTG3iMsTXDlX7fpH+D1WF1NYb8TrkWHLYXc1Sd5Z02G/mvv+FuXtcrlmLvQOa3G6rcF7JtgdJO35KH7jz3S0L7jk9Q2kdTSjiWXnLOn9ucjz76CKfTyZVXXomu603+c9NNNwGepE/XdWbMmAHArFmzmryvqKgILy8v1q1bx/79+y/UxxRCCCEUpzOz+Ofj//6TrutpJ4K6rucCDx1vPnUay1GfBhKBmbquP6vruq3uRV3XC3VdT238ViHEL0n/yTdhsngpMbvVyqpZH/Dp038gL+vABXqzhkbFjcJELYEF74LuWS6bW2vnjymH3fvvEnv3U+47sGUDAJaEQMyx/nWuGCiz3w3A3aZl3GRcybribkRlawRaPJViS6wlLDvoWupIdDdIusozghEiBvlQV9nChdTs2wdAXJgv/eND+TJ5FBV1CuSEHd6Isc6RIBXFVo4dKD3Nn8jpa5UYRGyHECW2+busc/7cpui67j4H8a677mq274nrM2fOxOFwsGrVKjIyMvDz8+O6665r8r6QkBAmTJgAyOyiEEKIi8cpJXaaprUG+gC1wJf1r+u6vgo4CkQDA+tfb2Q8C3CixvsLp/qyQohfptgOnbjrxTdoXe/cRYDcA2nM/vNjrP50BrZa6wV4O1Wodyj9ovphrk3Dt0ydmVuYX8qXucUAxPfsQ93freUfyqKsIA9N0wi8Mk65r8bZH6vTdR7ic6YPqckJJjtkMxMixir9vkyp89fz0MeVa4FeG/BKbKvE8l551f3nG/rEUmHxZW6yZ/W/0VlLeP4O5Z7087AUFaBfvb2Lh/YWkZtZ1njnc2zFihUcOHAAX19frr/++mb7jh07lvDwcI4dO8bixYvdid/111/vPluxKXUTTbvd3jIvL4QQwi0+Ph5N09A0jUWLFjXZr2vXrmiaxsqVK92xadOmoWlao4XKwHVE0g033ICmacTExLB79+4WfvsL41RnAXsd//ceXderm+izqV7f5vQBwoDDuq7v0zRtsKZp/9Y07X+apv1d07RBp/heQohfiNCYWG5+5t+M/vUjyh5GAN3pZOO3c5n55G85tHvnBXpDj9FtRwPgW/o1plp1v90zaUeptDvwDQyiVfuOyrUDWzcD4N0pFEtcgHKt1HYPug5emp23zW+yz+bFVZXqX5Vb87aSVnx84UfbIRDb131N0yByqDpm5erVVG7YCMC4bq3wMhn4JnEoRV6efpHHNir3pG3Jw2E/9wWGYtoH0yopSIltXpx1zp/bmI8+ch03MnnyZAICAprtazabufXWWwHXmYxfffUVAHfeeedJnzN+/HjCwsLIzc3lu+++O8u3FkII0Zw///nP7v3iZ6uqqoqJEycyb9484uPjWb16NV27NvwF96XoVJPFExtIDjbT58QBYwnN9Dmh2/F/p2maNgNYi2uZ66+BZ4GfNU2bq2maTxP3CyF+gTSDge5XXs2UV96h/YCGxZJLco7x5T//wvfvvk5NI2fdnS9Xtr0SDQ0NBwEF74Kz1n2t1O7g67wSANo1sRRV0zSCxsYr12r1rtQ4XfscW2lF3JS/idIjW+gXrY7xZerx2UVNg6GPKdf8rMvx7dVNieW98jK6rhPobWZMl2isJi8+73Cl+3pY0V5Mds9ZkTUVNjJ3FHCuaZpGv3p7F7N2FpyXiqz1ndhr+Omnn55S/zfffBNd1/n666+prKxE13XGjBlz0vssFgsFBQXous6kSZPO9rWFEEI0wdfXl127dvHJJ5+c9VilpaWMHj2apUuX0qlTJ9asWUNiYmILvOXF4VSTxRMbaCqb6XPi/8ya/7Wry4lSd8OBu4H/4Cp0E4KrCupR4Abg7aYG0DTt18eP7dicn59/Co8UQlwu/ENCmfjEn5n8h6fxDw1rcH33imV89MRvSFm3+oKc0RfuE06vSNciC5M9G5/yJcr1WdmuZKv+eYuH9uzEVlMDgFe7YLzaq/v2yux3o+uu4yz6aWn4ln/LjXHqssivUr9id8HxpS8dJkBYsvuahoPI4epsXc2OnVQcX2ZzfW9XcZ3F8QPJ8XU926DbicrdpNyzb616FMi50rpTCFEJgUrsQs0uCiGEuHw8+uijAPztb3+jtrb2JL2blpeXx8iRI/n555/p27cvq1evJjY29uQ3XkJONVk8cdhWS/1f14nnmoAPdF1/Utf1DF3XS3Rdnw9ce/xZ92ia1q6xAXRdf0/X9b66rveNiIhoodcSQlxKkvoNZMrL79BjzIQG16pKS1j42ot8/+7rFyRhHBPvmUnyqVgBdd5hR3k1O8urCGsdR2BElDvusNk4uGu7ux10dbwypk1PpNrpqVg6pGYP/XbuJszbkzDXOmv53YrfUVBdAAZDg8qoPoUL8B8xTInlv/EmutPJsKRwwv29sBtMzO54tft6zLGflf6H9hVRVtDUjoSWo2lag3MXD2zLp/DohZs1FkIIcem74YYb6N+/P5mZmbz77rsnv6ERhw8fZtiwYWzfvp0RI0bw448/EhbW8BfYl7pTTRZPrPvxb6bPiWunskaobp/361/UdX0zsAXX+408hfGEEL9QXr6+XHX/Q9z695cIjW3T4PqelT+wa/n35/29rozzLOU0Ogow16h7KWdlF6JpWoPZxQNbPXsELbH++HQPV64X2e9B1z1H2obs+z+eTLpJ6ZNXlcfjKx6n1lEL3W+GgBjPRXs1EUODlf7WffsoX/YDJqOBa3u6+q5o05usAFciG1BxhIDyOrsQdNi37thJfgIto23XMCLq7d/cIrOLQgghztILL7hqbP7rX/+i4jS3rqSlpTF06FBSU1OZMGECixcvPume9kuV6eRdAMg6/u+2zfQ58X9pWc30qT8eQFOnLWcCfXFVWBVCiGbFduzMXS++wcZvvmTD13NwOjzVJFfN/oD4nn0IDD9/qxCi/aLpEdGDHcerifpUrMDm08N9fV5uMX9LjKFd735sW+Kpmnpg22Z0pxPN4PpdXuDotlTvLoATe/D1aEodVxNschVAMWFn/E//Ze+AW5iZ5qmGuj1/O//e8G/+NuhvaIMehqVPu695Z88hcOwkypYsc8fy33yDgKuu5PrerZm+JhOnZmBmp3E8u3EGADHZP5PSwfMVsP/nY/SbkIDBoHEunZhdXPzuLncsbUse/a6pJCS6+eqiQgghPOKfarr656Ug64WGq4jOxqhRoxgzZgxLly7l5Zdf5m9/+9sp3ZeSksKwYcPIzc3l1ltvZebMmZjN5hZ9t4vJqc4sbjv+7y7NFJ3pV69vc7bW+XNT87Unfp0u642EEKfEZDYz+KbbufP5VzF7ec4LrK2uZtn7b5335agnqqICWKq34aV7/jqrdDj5Oq+Y1p27Yfb2/LVaWVxEbmaGu22O8MWvj/o7s2P2e9F1i7utlR7h8dQNDGqlnlz0VdpXfJHyBfSZAt519ipWFxM+PMq1TPW42vQMyr5bTOeYQDpGu347uq5VF/aHuI7xiMrbjMHhOZqkotjKoT2Fp/PjOGMJ3cMJi62TGOqwZUlz9daEEEKIk3v++efRNI2XX36ZU62Bsn79enJzc2nTpg0zZsy4rBNFOMVkUdf1w7gSPAtwU/3rmqaNAFoDOcC6UxjvKLDhePPK+tc1TQsBeh9vbj6VdxRCiBMi2iYw7I4pSixr+xb2rFp+Xt/jqrZXuf+s4cRYpj5/1tFCTGYz8d3VE4fqLkUFCLgqDkyeGbwAfPjR9oTSx5S1hv9zBNPav7USf3Hji2wq3g/9fqXEvbI+Jega9be0+W+9iW63c0Pv42NoGh91Hu8a31FDVN5Wpf/eNeen0I1m0OgzLl6JpW7MpTS/qvEbzrOUlJQL/QpCCCHOQO/evbn55pspLy/nX//61ynd06tXLwICAjh8+DC33347NpvtHL/lhXWqM4sAzx//94uapiWdCGqaFgn893jzBV3XnXWuPa9p2n5N056noRP/RZ7VNK1nnXu8gXeAIFz7Fk+afAohRH09R4+ndSf1jKOVM9+nouj8zIYBxPrH0iWsi7vtXbECrU6dsJ0V1Wwvq2p4hMZWtfqoKcgL/4ExSizaOZgNjp5KLGjDe7zRZiI+Js9MpV238/uVvye767Vg8sy2UnaE8CvagsmzG8F28BCl337L5J4xnFhdujMiiQ1RnQCIObZWeV7WrkIqS62cD4m9IwmJ9nW3dad+UcwurlixgokTJ17o1xBCCHGGnnvuOUwmE++++y4HD578e6V79+4sWbKEgIAA5s2bx6233ordbj/pfZeqU92ziK7rczVNewd4CNiladoPgA3XzGAg8A3wVr3bWgEdjv+7/ngLNE37D/AHYIOmaRuAQqA/EIPr+Izb9AtRxlAIccnTDAbG/OZRZj75CPZaV0Jjraxk2fS3ufbJZ9C0c7vX7oTRbUezp3APAEZHIeHOLPINnvMDZ2UX8I9efV3nIh7/6y73QDoVRYXKsSABo9pQuSkH3eoAIAgDi21P0sbwCDFakbtf8sr/8PxN/+Wxn550x4qtxTy28Z983ONWfLbMcMctGbMIvu5aSr6c644VvP1fEidOZFhyBKtSXUty3upxA71XvUxgWSZ+lceo9HP9la47dVLW59D76ua2s7cMw/HZxR8+2uuOpazLoe/4eALDLsyRvHa7nUcffZTnn2/s96FCCHFxaek9f5eLpKQkHnjgAd59912effZZPv7445PeM3jwYJYsWcLYsWOZN28et9xyC1988QUm0ymnVpeM05lZRNf1h4E7cC1JHQFcDaQDvwVu0HXdcZrjPQlcD6wFugHjgSrgFaCXrutppzOeEELUFRIdw9Bb71JiB7ZsZP/aVeftHeruWwSoLfxWaX+dV4LTP5BWie2V+IFt6uyi0c9MwDD17KZJBPIH65NY9Tr7JaoKudJp4aEeDyl99xXt42/eNnStzl/7+fsIv7ozWp39FrbsbEq++sp95iJAgW8wM3tORgNa1Ztd3Lsm+7ztBU3uG0lQhCcxdDp1Ni1sqkbauffuu+8SGRnJ9ddff/LOQgghLlrPPvssvr6+zJ49m927d5/SPScSxst9hvG0kkUAXdc/1XV9iK7rgbqu++m63kfX9bfrLj+t03eKruuarutTmhnva13Xr9B1PUTXdS9d15N1Xf+9ruuntstUCCGa0WvcRFq176jEfvzof1SWFJ+X58cFxtEptJO7ba7eho9e6W5XOZzMyy1usBQ1Y4u6bxHAf1gsBj9PYueLRh/a841jiNpx/yJ+0+M3XNHmCiW8OHs1HyarRXDM+6YTfMvNSqzgnXcZnRhMgJfnN6Rzo/tg7dGH6NyNaE7P/ozS/GqyU0ua+PQty2A00GecOou5f10OWbsKzsvz68rPz+fvf/87r7/++nmbpRZCCHFutGrVit/97nc4nU7+8pe/nPJ9dRPGr7766rJMGE87WRRCiEuJwWDk6t/8DmOd2bOainKWf/jOeXuHB7o94P6zhhOtbKlyfVZ2Ie3qnbd4aNcObLXqfkCDl4mAUepZktdhYYNjsPrAlMUY0Pj3sH+TFJykXHrddpTVPnX2Lh7dTNjQKDQvL3fInpdHzby5jO9WZweBpjFn5N14mXUiCnYoY+45T4VuANoPiFb2LgKsmLWf6ora8/YOAE8++SS33347Xbt2PXlnIYQQF70//elPhIaGsmDBAjIzT33VyuWeMEqyKIS47IXFtmHwTXcosbQNP5O6fs15ef7otqPpHt7d3fauWAl1FmPsrqjmcEgk/mHh7pi91srhPTsbjOU/oBXGIE9iZ0Gjk96bKt0To+woHNuOn9mP10e9ToDFc1Cwjs6foqPJqrOvwrzpJUJuuVF5TsF773N9pxAl9tVRB4GPPkZM9s9KPGNLDjWV56canNFo4Mp7OqPVOd+xqqyWVZ+mnLflsIsWLeKnn3465cp5QgghLn5BQUE89dRTAFRVnV617foJ42233XbZJIySLAohfhH6XnMd0YnJSuyHD96hqqz0nD9b0zSe6Os56sLoKMJSo87OfXKsiMT6VVEbWYqqmQ0EXhWnxMbgxQbHKLXj/u8A1zLY/wz/D4Y6exXLcfJodCQVJ5ZPVuYR1r4Ig69nxs5RWEi7NYtpHeLZI2i1O1ndaRixyYF4V3uWfjqdGvt+OH9bzKMSAhssR83Ymk/qxtxz/uySkhIefPBBpk+fjr+//zl/nhBCiPPnkUceoXXr1ifv2Ii6CePcuXMvm4RRkkUhxC+CwehajmowembUqstKWTHjvfPy/D5RfRjVxpPQeVesUK5/nVtCdM++Sixj66ZGZ8t8e0dhqlPoxYgG9npFVlK+c/9xcOxgnuijnsuYaTbx54gwTsxvmvbMIOSGcUqfog8/5OaOwUrs/bUH8f/rs8Tmq4nsrsUpOJ0Ntq6fM33HxxMRF6DEfvo8lYrimnP63Mcff5xJkyZxxRVXnLyzEEKIi0pWVha6rtO3b99Gr3t7e3P48GF0XUfXdUaOHOm+Nm3aNHRdZ8aMGU2OP3jwYMrKytB1nS+//PKyqI4qyaIQ4hcjPC6eQTfcqsT2r11F+qb15+X5j/V+zD3DZ6negcHuOfOx2ulkY1gbTBbPctKKwgLyDzbcN6EZNQLHqDNrycRQ7agzc5q7G4qz3M27O9/NNe2uUe5Z6efL/4IDXQ3dQVjIRgwBngTMWVrKuBS1cmx6XgVTlh0jaUI3tDoFsMsJInP2d5wvRqOBq+7tjNHk+Rqrrbaz/ON96M5zsxx10aJFrFq1ipdeeumcjC+EEEJcbCRZFEL8ovSbfCMR8e2U2A/T36a6ovycP7tdcDuuT3bNAGo48a5QE7HZ+WW07dZTiTW2FBXAp2s45lh1GeRR+2/UTvs9yZumafxt0N/oHNZZ6fJBUCBlx/f/GfM2EDpO/W2rc86n3JCszuDtPlrGHxwJhNsOK/Gd8/dgzz9/haxDW/kx6LpEJXZkfzG7Vh1t8WeVlJTwm9/8hg8++ECWnwohhPjFkGRRCPGLYjSZGPvQYxiMRnessqSYVTOnn5fnP9zjYXxMriWk3pUrlUI3eytrMHbuofQ/sFU9b/EETdMIujpeiXnrHahxdPMEUtSZPm+TN6+Pep1Q71B3zGow8J2fn7sd6v0DxuAgd9tZUcHvizYxsF2oMtb27HLWtwpXYrkh3Tn893+ft0IzAN1HtSa2Q7ASWzcvneKcysZvOEMnlp+OGjXq5J2FEEKIy4Qki0KIX5zI+Hb0v/YmJbZn1XIyt20+58+O8I3gni73AGB0FGOp3q5cXxERr7SPpadQlN34TJlXcnCD2cVS+xR0/XjhmoM/Q1WRcj3aL5pbO6hLcecFemYOjbW5hA1Xj+co+/QT3rumHf3j1YTxa7sRXfcc7+EwenFgTxnlixc3+r7ngmbQuPKezli8Pcm/3ebkhxn7cDpaZg/ld999x6pVq3jxxRdbZDwhhBDiUiHJohDiF2ng9bcQ3kbd97f0vTexVrXsjFRjpnSZ4p7d8674Ubn2dY1OZFIHJbZ18fxGx9E0jeCJ6pJam96BKufx2S/dAanfN7jv2qRr0fAcPbHPYma/xXMOZYjXcoyhwe62Xl1N9ccf8eG9/ejb1nOchq7BBi/1QPrsVoPJ+edz2IvUJPVcCgj1Ztgt7ZVYXlYZW5YcPOuxc3Nz+fWvfy3VT4UQQvwiSbIohPhFMprMXP3QY2h1jpSoKCpk1awPzvmz/cx+PNTjIQAsNTsx2D3HUFQ7dSoGjFD671n1Q5N7Kr3ig5TKqACltntx6q6YnrKowT2t/FsxKGaQEpsXFu3+s8HoILy3Uble/PnneJUU8tG9/egVF+yO7/RSZ+/KAhMorfUh97nnGn3fc6XDwGja9YxQYpsXZZF3sOyMx7TZbNx888088MADUv1UCCHEL5Iki0KIX6zoxGT6TlKPnNj141IKjxw658++of0NtA1si4aOd8VK5dqciET8Q8PcbbvVys4fljQ5VsjN7dHx7BN0EkKZ/TYA9LSlYGt4nMR1ydcp7UV+vljrTBIGh+zCFBbobutWK4X/+x8B3mY+vq8/PVq79jWWGnWyTA5lrOxWgyn7bjFly5Y1+c4tTdM0Rt7RAZ8Azwyp06nzw0d7sdc6mrmzaX/84x/x9/fn2WefbanXFEIIIS4pkiwKIX7RBt94O6Ex6gG825c2nI1raWaDmcd6PwaAd+VPriWjx+2rsREx8mr1nZYswGG3NTqWV5tALLFqxdIKxyRsztYY7FYcGT80uOeKNlcQ7BXsbpc5qlme0N/dNhghvFOpck/xl3OxHT1KoLeZmfcPoFusK2HcaVGTsZyo/jgMJnL+/g/sxcVN/ARank+AhVF3dlTfOaeK9d8eOO2xPvvsMxYsWMDs2bMxGOSrUgghxC+TfAMKIX7RTBYLg266XYnt/elHaqurzvmzr4y7kh4RPRotdPNTci9MXnXOXCwuImXdmibHCr0xWZldBBMl9l+j61C55bUG/S1GS4NzF+eFRoLBMzMX3OoY5jBfTwebjfx33gEgyMfMrPv70yUmkHSzgyrN82y72Y/88J44CgrIff75Zn4CLS+hRwSdBrdSYjuWH+ZIyqknrbt27eLRRx9l3rx5hISEnPwGIYQQ4jIlyaIQ4hcvuf8g/II9SUFtdTV7f1pxzp+raRpP9HkCaFjo5pvyWtoPv1KJbVn0TZPHUphb+eMVF6jErM7e1DgHYczcgdWa1+Ce+ktRNxTu5Ej/+zzvZ4Tw5BylT+m3891nKQb7Wph9/wCSWwWw19JwKSpA2fwFVKxuOsk9F4belExAmLcSW/7xXqzV9pPeW1JSwnXXXcdrr71G9+7dz9UrCiGEEJcESRaFEL94RpOZbleOVWLbly46L+cF9o7qzRVtrsBSswuD3XOgfY1T51Df4aB5NhLmZWZwZN/uJscKuqZdvdlFKLHfj68Njm18qkH/9iHt6RrWVYl9E94KAj3LcoPiKjCHeGYbsdko/mKOuxniZ+GTBwZQ1sqr7jCUhHSgysdVcCZn2jScVed+pvYEi4+JK+/pRJ2Cr1QUWVkzJ7XZ+5xOJ3feeScTJkzgjjvuOMdvKYQQQlz8JFkUQgig+1VXo9XZm1Z45BBH9u46L8/+XZ/fYdIMeFesUuKf1ppI7NNfiW1Z9E2T43jFBWKODVASRoceTbnjBqr3rKCiIqXBPfVnF7/N+g7H1Z5KppoBQhMKlD7Fn3+OXlvrbof5e/G/3w6kUJ3M41i0q+Kq7ehR8t96u8n3Phdi24fQ80r1vMj963LI3JHfxB3wj3/8g7KyMv7zn/+c69cTQgghLgmSLAohBBAQGk5Sv4FKbPv3577QDUC7oHZcn3w93pWrlEI3KZU1+I1QZzwztmyk+NjRJscKGt22QazMfiPBuSGkpP6zwWzpuIRxeBs9WV5OZQ7rgyKg3SjPmAlVdbcy4igooOx79fzGcH8vxk5KUmLHWg3CefxokqIZM6jes6fJ9z4XBkxuR2iMnxLb/F1Wo33ff/99Zs6cyZw5czCbzY32EUIIIX5pJFkUQojjeo5RC76kbVpHeVFBE71b1sM9H8Zfs2Kp3qrEv/WLIKpdnSRM19m6eH6T43h3CMEU4YuVuucfemGx3kzV4XUUFqp7MQMsAYyJH6PE5qV/DeP/z13sxmjWCUqoUPoUzZrd4Nm9hsRi8vacz1hrCaTwxDJXp5NjzzyDbj/5vsGWYjIbuWpKZ2U5at7Bckpy1SWxc+bMYdq0aSxdupTo6GiEEEII4SLJohBCHNemSzfCWse527rTyc4fvm/mjpYT7hPOlC5T8KlQk7lv80uIu2qCEtu98geqK8obHUfTNAJHtkGrmyEB1c4hGFMHkpL6L5xO9QiO65LUpag/Hv6RYv9wGDTVHQtNrlT61OzcSfWOHUrM7GWkQ3812TpR6AbAuncfRR/PbPS9z5WIuABikoKVWPqWXPefv//+ex555BG+++47kpKSEEII8cvgdDr59NNPmTx5MrGxsXh5eREaGkrfvn155plnyMtrWBgOYNq0aWiaxpQpU5odf8aMGa4zgEeObPmXP48kWRRCiOM0TaPHmPFKbNfyJU2eb9jS7ulyD1FkY7B7vqBsOnwU1hb/0DB3zG61svOHJU2O49sjAu8ACxUUKfHYosnUVB3m6NFPlHifqD60DfQsX7U77Sw8sBCGPwmBsQBYAhz4tapR7mtsdrHzEPXYisLQLthMPu52/ptvUnv4cJPvfi4k94tS2qmb8tB1nXXr1nHnnXcyb948evTocV7fSQghxIVz5MgR+vfvzx133MHChQuJi4vj+uuvZ/DgwWRmZvLcc8+RmJjInDlzTj7YZU6SRSGEqKPzsCswe3uSm8qSYtI2rjsvz/Yz+zG1x0P4lc5T4ouLqwgcPlqJbV+yoMkkVjMZCBjWGmu9yqhGvRXG/deRkfEaNluJp7+mcW3StUrfeWnz0C1+MMZT7Ca0vTq7WLZkCbZc9TevEXEBBEfVOZtRM3A0oqe7qdfUkDPt7+el0uwJib0jMBg8M63FxypZs3wj1157LTNnzmTIkCHn7V2EEEJcWEVFRQwbNowtW7YwcuRI0tPTWbduHZ999hkLFy4kJyeH559/nqqqKm699Va++uqrC/3KF5Qki0IIUYeXry+dh1+hxM5XoRuA69tfTwdjNiZrmhJ/L6YTJi/P8RQVxUWkrmv6/EK//tGEe0XiMKiJbtujo6Fa40Dmm0p8cuJkjJpnv2F6STq7C3ZDl+ugzQDXmNFWLAF1ElS7nZIvvlDG0TSNdj3DldiWBHVPZOXatZQtWNDku7c0H38LrTuFutsFZdnccOtkXn/9dcaNG3fe3kMIIcSFN3XqVLKysujXrx+LFy8mISFBuW42m3nqqad45ZVX0HWd++67j4KC81O/4GIkyaIQQtTTs95S1KP795B/KOu8PNtsMPNIr6n4F88C3VOkZp/TCH3UGbDNi75pcobO4G3Cb2AryjmKhmdG0Kx7EZxyG0eOzKKqKtMdj/CNYFjsMGWMeenzXOc8DvgN4PpjSL3ZxeIvvsBZ5xgNgIQeEUrb1xLB9oj2Siz3+RewFxc3+u7nQnK/SACKK/J5a9EfGd/vLm655Zbz9nwhhBAXXkZGhntp6dtvv423t3eTfR999FG6detGWVkZb7311vl6xYuOJItCCFFPeJu2tOncTYlt/37heXv+6Laj6e7v7TpKo46ZCT1dGdtxeZkZHN3X9HEUAUNiCNV6E2hS9yiG5wzCu6QtqWnPK/H6Zy4uzlxMla0KOk2EgBgAguKrMZg9SayjsJDyxYuV+6LiA/ENtLjbXmjM7XYbtQaT577iYvJeeKHJd29p7XpEkF9+hFe+fZRhnSfRr+04crPKztvzhRBCXHgLFy7E6XTSpUsX+vXr12xfTdO4++67AZg/v+kq5Jc708m7CCHEL0/PqydweO8ud3vf6pUMv+NevHz9mr6phRg0A7/t9VseWvFnrL790Q2uZx4NCKW6fTd8Una6+25e9A2tO3dtdBxjoBfePQZi3/1vTNrV2HVPEZvI/XdyKOifFBX9TGioq2LpsNbDCPMOo7CmEIBKWyXLDi5jctJk6HsfrHgOo1knOKGKolR/91hFM2cROGkS2vFEVjNoxPcIZ+/qbHefUFMon3YYzZR9nsSy9Nv5BE6chP/Qc79ncPuurbyx8AnG97mPQR1dZ1emb8ojOiHonD9bCCEuCtMu8b/vppWe9RBbtmwBoH///qfU/0RCuWPHDux2OybTLy91kplFIYRoRGLfgfiHePa52aw17Fm1/Lw9f1jsMPqEJ+Jbr9jNNx3U34RmbNlA8bGjTY4TMKI1Dmc/gk3vKXGfsnYEHR3G/pS/4XBUA64lsJOSJin95qUdf36fKWB0zRaGJFdCneI5NXv2UL1tu3JfQnd132KizcjcpJFkBqpHa+RMm4azSj33sKUtW7aMa665huenvepOFAHStuTidJ6/QjtCCCEurPz8fACioqJO0hOln9PppKhIrTD+8ccfo2lak//ce++9LfvyF4gki0II0QijyUT3q9TiJ9uXfnfeqnhqmsajvR7Fp3w5xtoj7viRVvGURbX2dNR1ti5uenmMOcoPc+wYvI078DGsVa6Fp92ItSyHtPR/u2P1z1zcmreVrNIs8I+ArjcArmM0/GOsSr/i2bOUduuOIZi9PAVzAnSNCN3E6z1vwlnnDEjbkSPkv/V2k+9/tr744gv38Rj3T71deaeq0lqOpZWcs2cLIYS4tDX3nZ+YmMg999zT5D+XS6VtSRaFEKIJ3a68GoPRk1wUZx/h0K4dzdzRsvpG92VozED8i+ucZ6hprO4yUOm3e+UP1FRUNDmO9+gJ2HR/gszT0fCclWiyBRKecS1Hj35KXv73ACQEJdA7srdy/9fpX7v+0P/X7lj9Qjdl3y/FlpPjGdtsJK5LqNInyWYkJbQtC9qpX6BFM2ZQvafpvZdn6u233+b3v/89y5YtY+jQoZgsRhLqVWpN3Zzb4s8VQghxcQoPd30H5Oae2t/9eXmu46EMBgOhoep32tChQ5kxY0aT/zzwwAMt+/IXyC9v4a0QQpwi/5BQkvoPJnXdands+9KFtO3e87y9wyO9H2HtwluxVG2i1te1BHV/YldGbliKX6WrQIvdamXn8iX0n3xjo2NYEkOp8R6Ej3UZAaa5lNnvdF8LPnwlJW1WsG/fnwkM6Ia3dwzXJV/H1ryt7j7zM+bzSK9HMMX2htb94Mgm/KKsWAJt1JaZXZ0cDoo//5zIxx5z35fQI4KMrfnudmenmTXY+bjTWAYd201kdYnrgtNJzjPPEj/nC7QW2A+i6zrTpk3j008/ZfXq1UpZ9OS+UaRu8PxPQsbWPIbf2h6jUX53KoS4zLXAnr9LXZ8+fZg9ezbr168/pf4bN24EoEePHr/I/YogM4tCCNGsXmMmKO2MzRspK8hvonfL6xLWhdFtR+Nf/Ck4XUdUOI0mNncdoPTbtmQBDru90TE0TcPQ61oAAozzMGqeGUBNNxKRejN2eyl79v4eXXcwpu0Y/MyeQj4F1QWsPnI8Ye7/4PExITRZnV0s+WIOTqtneWrbrmEYDJ4lp0E2CHZoVJu9ebvH9cq9NXv3UjRTXcp6JioqKrjttttYtGgRa9eubXB+VptOoXj5eb7wrZV2Du8tqj+MEEKIy9A111yDwWBg3759bNq0qdm+uq4zc+ZMACZOnHg+Xu+iJMmiEEI0I7ZTF8LbeKqI6rqTnT8sOa/vMLXnVEyOQnzLF7ljOzv1w2Yyu9sVRYWkrl/T5BiWkZPRMaNptQSZPlKu+ef3wrewEyUlG8nK+i++Zl/Gxo9V+sxLP17opvNk8Hdt+G9wjEZxMWWLvnO3vf3MxLQPVsYZ6uMLwMbozqyK7aFcy3/zTWqPHOFM7d+/n/79++Pv78/q1auJjIxs0MdoMpDYS42nb84742cKIYS4dCQlJXHjja5VOFOnTqWmpqbJvm+88Qa7d+8mICCAqVOnnq9XvOhIsiiEEM3QNI2eV6uzi7t+/B67zXbe3iExOJGJiRPxLVuIwV4AQI23L7s7qHsLNy/8usnN+Jp3AI4I1xEZPoa1WLS9yvWI1FtB1ziQ+QYlJZu5Plmd+Vt9ZDX5VflgsriO0QAMZp3gdmol06LZs5R3SOgRoVzvY/IcgPy/bpMpN/u423p1NTl//8cZFRGaM2cOw4YN4/e//z3Tp0/Hx8enyb7J/dQqeAe252OvdZz2M4UQQlx63n77beLi4ti0aRPjx48nKytLuW6z2XjxxRd54okn0DSN6dOnN/rLx18KSRaFEOIkOg0bheX4jBhAVWkJaRvWNnNHy3uox0OYNSf+xZ+5Y1u6DUKvU1k0LzODo/uaLhRj7DsZcC0hDTJ/oFzzLm9LYPYQwMmePY/TMSiOpOAk93WH7mB+xvGqq33uBYNrVrP+MRrWvfuo3urZ75jQQy0oU3WsipFtXUUCir0Dmd7lGuV65erVlC9b1uRnqM9ms/H444/z1FNP8f3333P//fef9J6Y5GB8gyyeMawODu4uPOVnCiGEuHSFh4ezevVqevbsyYoVK0hKSmLIkCHcfvvtTJw4kejoaJ566il8fHz45JNPuPnmmy/0K19QkiwKIcRJWLx96DLiSiW2/ftFTfQ+N1oHtOaG5BuwVG/EXOOaFSwODic9voPSb9OCr5ocQ+t8jTu59DKk4GNYqVyPSL8BzW6hxppNSuozDY7R+Cb9G9esX0AUdLkWAIu/A/9YdRlP0SxP9daAUG8i4gI8F3W4vbXnN7RL2/ZnV1g75f7cfz+Ps1LdD9mY7OxsRo0aRVpaGlu2bKF3794nvQfAYNBI6qP+ljhtk1RFFUKIX4q4uDg2b97MrFmzGDduHJmZmcydO5c1a9YQHx/PX//6V9LT07ntttsu9KtecJIsCiHEKegxZrzSzk7dR17WgfP6Dg92fxAfozf+xbNAd+0V3NJtsNLnwNZN7FqxtPEBAqKgVR93M8j8MXY8yy9N1hBCs1yfMy/vO/r6OTAZPMVgssqyPFVSjxe6gYaFbsqXLcN27Ji7XX920Xa4kok9YlwNTeOtHtdj1zxfR/acHPL/+9/GP8NxK1asoF+/fowbN4758+cTEhLSbP/6kvuqS1GzdhdSW914gSAhhBCXH6PRyJ133smCBQvIzs6mtraW4uJitmzZwnPPPUd0dHSj902bNg1d15kxY0az40+ZMgVd11m5cmXLv/x5JMmiEEKcgrDYNsR1VQuybP9+4Xl9hwjfCG7rdBsm2xG8K34A4HBMAsciYpV+P37wbpOJrNbZs//SpOVTblitXA/NGoepJhiA3Kz/MLxVP+X6vLTjhW5a94UY10yeb1QtlsA6ezgdDoo/+9zdrL9v8fDeIh4bkYjZ6JrlPBQYzdeJw5U+RR/PxJqW1uD9y8vLmTp1KnfddRczZszgr3/9KwbD6X+VRSUEEhDm2T/psDnJ3HH+qtwKIYQQlwJJFoUQ4hTVL3Szb80qaioqzus73NflPvzN/viVzkNzlIOmsXjU9dTWqYxqt9Wy8LUXsFZVNRygo/oZupjfpgJPomdwehGefgMATmcN3Q0ZSv8lmUsoqC5wbXwcUOcYjfb1jtGYMwfn8SpzYbF+amJmd0JuDXcM8FSZ/bTjaAp9gz0D2O0Nit0sWbKErl27YrVa2b17N6NHj27uR9UsTdMazC6mSVVUIYQQQiHJohBCnKLEPgMICPPMktlrrexZ9cN5fYdg72Du7nI3BmclfqVfAlAYGsWy4ZOUfsXHsln67usNK4uGt4fo7u6mQavGx/iZ0iUwewheZXEAxOlZRHp5ivvUOmuZvff4nsQu14Gf6+fR4BiNkhLKFrpmXjVNo1292cXMHQX89ook/CxGAGpMXrzTRf0MVZs3UzZ/PkVFRUyZMoWHHnqIDz74gOnTpxMcHHzSn9XJ1K+KenhvETUV56/KrRBCCHGxk2RRCCFOkcFopPtV6vmDmxd+Te6B9PP6Hnd3vpsQrxC8K1Ziqs0CYG/7Xuzo2Efpl7phLduW1Fsqq2kw7iUlFGeaSxmeg+k1DESk3Ao6GDQY5lOi9P8i5QvKa8vB5AV9pgBgMOkEJ9Y7RmPWbHeymtBT3beYtauAUB8zvx6e6I6tjenGzphOSr+Zf/oTXbt0ITAwkF27dnHVVVc1/YM5TWGxfoREexJhp1MnY5vMLgohhBAnSLIohBCnodsVYzAYPUVfKooK+fTp37Ph6zk4HefnrD4/sx/3d7sfDd1V7Oa4H4deQ25YK6XvqlkfcCwtRR2g7SDo6zliQtOctDW/oT6juDN++T0BGOBnx7/Ot0WFrYI5KXNcjb73wfEiOCFJlaDVOUYjJYWqTZsAaJUYhJef5+dWU2Hj3rt+RWTRDnyPzy6iabzWeTKYLeTb7Tx29CivZmby7oQJvPHGG/j7+5/6D+kUaJrWYHZRqqIKIYQQHpIsCiHEafALDqHblVcrMafDwZrPZ/L5tD9RknOsiTtb1i0dbiHSNxKzNRVL1RYA7CYz88fcitPLsz/Q6bCz4LUXqC4vUwe46m8QEONu+hk3Y9P2KV0iU28FpxGLAYb71yrXZu2dhdVhhcAY6ORaPmrxd+AfU+8YjZkzATAYDSR088wu/rhrLuvWrWfyNeMZ2C7MHT/q5c9LwRFMzsokzmJmXtt4ktf+TPXups+PPBv19y0eTSuhssR6Tp4lhBBCXGokWRRCiNM08u4H6DKi4XLIY6n7mfnHR9i5fEnDvYItzNvkzYPdXQVmvCt+dMdLgsJYMvJ6pW95QT6L334F3emsM0AQTHhZ6dfa/BZOPH0sVdEEHxkFwNAAO151Zg0Lawr5Nv1bV2NAnWM06hW6qfhhOdV7XIneiaqo+w5vZvmOOTw04Z/4+PgwLDkc3emgYudSst97kJVVTr4cMJAnIiLxMhhA18n5+9/Rz8HMbXCUb4NzINO3yFJUIYQQAiRZFEKI02Yymxn78GNM+v1f8AkIVK7ZrDUse+8tvnnpH1SWFJ/T97gu+Tpa+7fGUrMLg73AHd+T0Bmv4WOUvpnbNrPx27nqAB3Ho3e+1t00Gw7iY1AL9kRk3IjB5ouvAQb7q+cQfrT7I+xOO7QZ4C6a4xtZi3eIOguZ//rrALTpHEphZTYzVzzPfVc9g8UeTMGRcuxZWzj20SNU7FpOxLV/xmv8k/T+53PKGDW7dlHyZb33byENq6LKUlQhhBACJFkUQogzltx/MPf8523a9e7X4NqBrZv4+A9TSdu07pw932wwM7XXVDR0vCtWKde+6XMFrZI7KLG1X8zm8N5dSkwb9xJWk2dmLdQ8EyeeZZgGmzcRmTcCMDLAjhHP7OKRiiMsO7iswTEaEd3LlWdU/rSaqs2bqbZWMv2HvzGh7xSSWnXnYN5+xk24mlf/9SwJ4x4g6vYX8IrtSI3Nyf64rgTUOxoj79VXsRcV0dKS+kYq7dzMMkrzq1v8OUIIIcSlRpJFIYQ4C37BIVz7x2cZ/evfYq6zVxCguryM+f/5F0veea3xMw9bwLj4cSSHJONduQp0zxLS3dV2Eu7/Hd7+nkRQ150sev0ldcYzIArt6n+5m0athGDT58ozgg6OxFwVQZBRp5+fuhT0g10fuJbcdr0RfF17D/2irfhEqPv+cl55lTvvvJPBA4eQ1KoHH/3wHO99/yy9241i586dTJ40CU3T3P1/Sisg6i9/RvOtU620tJS8/6hLZ1tCQKg3rZKClFj6FpldFEIIISRZFEKIs6RpGt2vHMvdL71Jq/YdG1zfs/IHZv7xEY7s3d3izzYajPy5/58xOoqx1OxQrs21wvjf/l6JVZYUs+iN/8Pp9CR9lr53k+7b090OMH6LhmdZq6YbiEi9GYArAmxodWYXU4pTWJu9Fsze0PseV38NIrups4svff89h1JSqLaX8dr8x2kVmsCzt35Mj+irqCq1MTRZPYdxdVo+5latiJj6sBIvnTePqi1bTvXHc8oaLEWVqqhCCCGEJItCCNFSgqNbceu0Fxl6690YjEblWll+Ll/8489sWjCvxZ/bL7of4xPG412xQonPyy0molsvBlx3ixI/vGcnP8/51BPQNHyvf4sa3Xy8WUuIeYZyT0BeP3yKk4k063T3UWcXp++afvxF7gfN9bl9I2vxa+WqjDq9sJD3igrJyswkITGep3/9On2TRmG1VVNTW0XGtlyGJoVTZ2KRPdllFFZYCb37bixJicrzcv7+D3S7un/ybCX2jkQzeF6g8GglhdkVLfoMIYQQ4lIjyaIQQrQgg9HIgOtu5vbnXiasdZx6Udf5afaHZG1v+ZmxP/T9A6H2DAx2z56+aqfO13nFDL75dtp06a703/D1F2Ru2+xuxyR143PLDe62j2EVZi1VuSci5TbQNa4KtCnxLblb2J63HYJaQ8cJnv7HZxdTrVaSLBaSTCZ++u473vv2Od5c+CTPz/0Vf519M33HJNIqNIC893+FXmfGc016AZrZTPSzzyrPs6amUjR79mn+hJrnG2ihdccQJZa+WaqiCiGE+GWTZFEIIc6BqHZJ3PH8q/QeP7nBtcX/fZWq0pIWfV6EbwS/7fkQ3pU/KfH/HTyEwWBkwqNP4hesJkPfvfUyZQX57nbwsN+w2xkPgKbpBJunK/19ytoRkDOQNhadDl719i7u/sD1hzrHaPiE2ghoU81LMTF8m9COWXFt+TIxiS3rtvD32z/h+bu/4uX7FvLGg8vIzS7gqekL0QyeGdnVaa6lsH79+xM4aaLyvII33sSW27JLRZPrFbpJ25R7zo9AEUIIIS5mkiwKIcQ5YrZ4MeqeX3HdU39D0zx/3VaVlrDknddaPBG5teOtdDIeUgrdpNcY2FZahl9wCBMefVJ5j5qKcpb+7w13+5rB3XjecTd23dXHy7AXH8Na5RnhadeD08iV9WYXVx5eSXpxOrQdAjG93fGIbuVQZ3lpbWYm/LyM0Bg/T1CH3PRKruymzsSuSStw/4yinnwSQ4CnWI+zqorcF144xZ/MqWnXMwKDyfOypfnV5B8qb+YOIYQQlyqn08mnn37K5MmTiY2NxcvLi9DQUPr27cszzzxDXt7JV5fs2rWLhx9+mI4dOxIQEICvry+JiYlMmTKFn3766aT3XwokWRRCiHOsXa9+DLxB3TeYuW0z25YsbNHnmAwmnhvwCOYatZDO3/duBKBNl+4MueVO5drBndsoL3TN4JlMJtomtGe6Y7z7epDpI8CTGFpqIgjM6U+yl5O2Fk0Z66M9H7mq21w1zR3zCrQTFK9Wgs1/+y3iu6qznJk78unTNgQfs2dmMaeshvQ8175BU0QEEY/9TrmnfPESKtaqyezZ8PI107ZLmBJLWZ/TYuMLIYS4OBw5coT+/ftzxx13sHDhQuLi4rj++usZPHgwmZmZPPfccyQmJjJnzpxG79d1nT/96U/07NmTd955B6vVyujRo7nmmmvw9vbm448/ZsSIEdx9991YrdZGx7hUSLIohBDnwcDrbyWmfScl9tMnH5J/MLNFn9MrshfD/SuV2IYqPzLLsgHoP/lGotolKdcPbN3o/vOdwzryjn0SB52uJZkmQw5+xh+U/qGZE9DQuCKgRol/d+A7siuyod0ISLzCHY/oWq5829izjxGes0259+CeIow6DGgXqsR/SvNUZQ259Va8O3dWrue9/HKLztAm91Orou5ZnU15UU0TvYUQQlxqioqKGDZsGFu2bGHkyJGkp6ezbt06PvvsMxYuXEhOTg7PP/88VVVV3HrrrXz11VcNxnj00Ud56aWXCAoKYt68eWRmZjJv3jzmzJnDnj17WL16NfHx8cyaNYubb775kt7SIMmiEEKcBwajkfGP/AGLj+fcQIfNxqI3/g9bbcv+1vHlPjdhdJS627rBhye2fgOAZjCQ3H+w0j9jiydZ7JDUjkTvav5sf8AdCzB+BXj2KHpVtsYvvwfdfBy0qnO2pF238/Gej12NOrOLZj8HIYlqZVHnJ2/hF2j23Gt1cGR/McPqHaGxJs2zp1IzGome9jfqlk217t1H1bp1Tf0oTltC93D8gizutsPuZOP8Ay02vhBCiAtr6tSpZGVl0a9fPxYvXkxCQoJy3Ww289RTT/HKK6+g6zr33XcfBQWeX1x+//33vPXWW5hMJhYvXsx1113X4BlDhw5l5cqVBAUFMX/+fKZPn96gz6VCkkUhhDhPgiKjuOpXU5VY4ZFDrJr1YYs+J9ovnJGB6tESm2oiWJftSqoS+/RXrh3avQNbjWv2zGg0MrlLKOucXZhjHwG4Zhd9DKuVe8IyJ2AARvqpe/rmpc2jqKYIWvWAbje54+GdK9BMnn7OwgKiLQXKvZk7ChieHK7E1h8owmr3JKo+3bsTcNWVSp/C6R80+nM4EyaLkf6T2imx/RtyKDgiexeFEOJSl5GR4V5a+vbbb+Pt7d1k30cffZRu3bpRVlbGW2+95Y7/+9//BuDBBx9kwIABTd7ftm1bnn76aQCef/75S3Z2UZJFIYQ4jzoNGUHn4VcosR1LF5G+eUOLPufvXQYpbbtXMk9v+oBaRy1hbdoSGOFZbumw2Ti4a7u7PbR3F9oaivmX/Q7y9UAAAkzqMhyf0mR8ijvQx9dGmJe/O17jqOHTfcfPcBz1VzC4Zg9NPk5Ck9WEK3CdOmbmzgISw/2ICvRyx6ptDrYcLFb6hd1/v9Ku/Plnavbta/Jncbo6DoxuUIDn53kZLTa+EEKIC2PhwoU4nU66dOlCv379mu2raRp33303APPnzweguLiYNWvWADBlypSTPu+ee+4BIDMzk127dp3Fm184ppN3EUII0ZKuvO83HE3ZS2mup3jK9+++TvRLb+IfGtbMnacuyc+XXn4a2yo9v8k8oLXn4z0f86vuvyKxT3+2LVngvpaxZSNJ/QYCEB8fT0+/7/imvB3TbFN42/IGFkMm3oZN1Dg9X65hmddQHZrClUEm5tQpGvfZ/s+4t+u9+IUmQN/7YOP/XP07VVCc4Y+z1rWMNCh7O6YODuxOV1Gb6rJa8g6WMyw5grlbjrjHW5NWwOBEz4yjT8+e+PTtQ/Vmz3mVhR98SOx//q8lfnQYjAYGXZfIord3umOH9xZxaG8hcZ1b5r+PEEKcb90+7nahX+Gs7Lrn7JOtLVtc3xv9+/c/SU+XEwnljh07sNvtbNu2DafTicVioWfPnie9PyIigvj4eLKystiyZQvdu3c/6T0XG5lZFEKI88zi48uER5/EYPRU/qwpL2Px26+gO53N3Hl6HmyrHkVR4zeEd3d+xNGKo7SrtxT1wNaN7mcbjUZGdW1LmFbJIucAtjldBXECTF8q9/gVdsOrrC19zNkEWjyzi2W1ZcxNnetqDH8Sjl8zWnTCOnhmFw26g7C8ncqYB7bnM6zeUtTVaepyVWg4u1i2eDG1R442/oM4A227hhHbIViJ/TwvA915aS4jEkIIAfn5rn3wUVFRJ+mJ0s/pdFJUVOS+PzQ0FJPp1ObcToxx4t5LjSSLQghxAbRK6sDgm+5QYod272Dzom9a7BnjIoIINnn+mtcNfpR5deeljS/RpnNXLD4+7mtVpSXkHEhzt7t06UwnUy6gMd/hWtLqZdiLRdujPCM0czxeBhgb2VaJz9wzk1pHLfhHwOBHPf3bV2L09iTE4XlqVdSMbfkMTlRn73Znl1JUWavE/EeMwJKY6Ak4HBR9/HFzP47Tomkag69Xq8YWHqkgdaMcpSGEEL8ULbHP8FLdq3iCJItCCHGB9Jt8A206q8uC1nw2k9wD6S0yvpfBwK2t1MSrxn8kPx7+kbU564jv3lu5dqBOVdSEhAQ6+1XjjY3vHANw6q6lo/VnFwNy+2GujKKPMR1vo6dQQF51HgsPHD9HctBU8HNVOTWYdcI7e2YXwwr3oDk9xXjK8qtx5FvpEhPojuk6rE1XZxc1g4Gw++5TYiVz52IvVvc3no3ItoENjtJY/+0B7DZHE3cIIYS4mIWHu1au5ObmnlL/vDzXHguDwUBoaKj7/qKiIux2e3O3NhgjIiLiJD0vTrJnUQghLhCDwci43/6emU/+lppK19ESToedRW+8xJ0vvI7F2+ckI5zcHa3CePewZ+mLzbsjdlMMz294nud7/Y7UDZ5D7TO2bGTILXcBrqWoXTp1oMPGXHY4Ytmkd2CAth9vw2bMWiY23VVqXMNAaNZ4bF0+YnybsczL+sk93ke7P2Jy4mSMXv4w4k/w3R8ACE6spHC/P/YqIyZHDeEFO8mP9CSuKetzGJYcwZ7sMndsdVo+E3vEKJ8tcOI15L/+OvbjX8R6dTUln39O+EMPnfXP7YSBk9uRsTUPp8P1m+GKYis7fzxC76vbnuROIYS4uLTEnr9LXZ8+fZg9ezbr168/pf4bN7p+idqjRw9MJhO9evVC0zRqa2vZtm3bSYvk5OXlkZWV5X72pUhmFoUQ4gIKCAtnzIOPKrHiY9msmPF+i4yf7OfNwCA/JVbjP4IjFUdY67UfTfN8DeQfzKSswFOppkuXLnQw5aPhZKHDVfxG0xrOLgZlD8FUE8wI/2pMdc7HyCrL4sfDP7oave+BEFeCaTBCRFdPIhidu1EZL21zLkMSQpXY6rSCBkt5DBYLoffcrcSKZs3GefwYkJYQGO5Dt5GtldiWJQepqbC12DOEEEKcH9dccw0Gg4F9+/axadOmZvvqus7MmTMBmDhxIuDaqzh06FAAZsyYcdLnfXx8e0R8fDzdul2aBYYkWRRCiAssecBgul85VontXrGUlHVrWmT8O2PqLUX1G4aOiQ8zZhGWqB5GfGCL58szISGBMF8TScZCljj64zi+FNXHsAajdszdT9NNhBwcC2U/My7+KmW86bumu5I8kwWueNodD4qvxhLgWsITVrQXs63Cfc1aZSeiQsfb7PmKOlZaQ0Z+ZYPPFnzzzRj8PcV1HEVFlH7zzUl/Jqej7/h4vHw9SXBttZ3Ni7Na9BlCCCHOvaSkJG688UYApk6dSk0zv1x844032L17NwEBAUyd6jkj+c9//jMA7733Hhs2NH3s1cGDB/nXv/4FwJ/+9Cc0TWuJj3DeSbIohBAXgZF3P0BIjDqDtez9N5WZvjM1ISKYYJOn8qpuDMDq25daZy0poYVK34ytnlk+o9FIx44d6W7MpoBANjg7AaBpTgKM6hmJwUdGotVamBClLhXdW7iXdcfWuRpdrodWPVxjGCCim2t20aA7iMzbotyXuTmPAQlqkrs6rWElOWNAACG33qLECj/8CN3RcvsKvf3M9B6rLjvdtfIIZQXVLfYMIYQQ58fbb79NXFwcmzZtYvz48e5loifYbDZefPFFnnjiCTRNY/r06URGRrqvjxs3joceegi73c64ceP4ppFfUK5du5ZRo0ZRWlrKhAkTePDBB8/xpzp3JFkUQoiLgNnb+/hxGp4ZLGtlJd+/8/pZj+1jNHBjdIgSq/EfBcBPXnuV+OHdO6it8SRBnTt3JsBQS7KxgIXOQe64n3E5Bq3U3TY4vAk5dCXmslVc0eYKZcwPdn1wvJMBrvq7Ox7QpgavYNdyzugcdSlq1q4Chsap79zYERoAIXfdDWazu207dIjyZT802vdMdR/VGv9QL3fb6dBZ/+2BFn2GEEKIcy88PJzVq1fTs2dPVqxYQVJSEkOGDOH2229n4sSJREdH89RTT+Hj48Mnn3zCzTff3GCMt956iyeeeIKSkhKuu+462rVrxw033MAtt9xCt27dGDp0KJmZmdx2223MnTv3kp1VBEkWhRDiohGVkMiw2+9RYod27yD/UNZZj31HvaqoNu/O2E1RlPrbsPp7vgocdjsHd3qOs2jXrh3e3t50Nx1jqaMPdt3VV9NsBBjnKWMGHxpNRXEKtyeNUeIbczayM//4eYqJo6DdqONjQGR31+xiYHkWvlWe6nROh067avUrav2BQmrtDc+hNEdFEnR8P8kJhR980KLlyk1mIwMntVNiaZtyyTtY1sQdQgghLlZxcXFs3ryZWbNmMW7cODIzM5k7dy5r1qwhPj6ev/71r6Snp3Pbbbc1er/BYODll19m27Zt/OY3v8FsNvP9998zf/58KioquOuuu1i5ciWffvop3t7ejY5xqZBkUQghLiJ9xk8mtmNnJbZ/zcqzHreTvw99A32VWI3/SNAgI7xEiWdsUZeiJiYm4q/VEm608rOzi/uan/E70DznH5psAQQfHUlo7S4GRA9Qxpy+a7qncdU0zxitrHiH1KIBUfUK3RTvKyYywDObV1XrYOuhxo/GCLvvXvWz7dpF1UmKF5yu9v2jCW/jr8TWzk2/5M/QEkKIXyKj0cidd97JggULyM7Opra2luLiYrZs2cJzzz1HdHT0Scfo0aMH77zzDikpKVRUVFBdXU1mZiYzZ85kxIgR5+FTnHuSLAohxEVEMxgaFLvZt3YVurPhjNrpuqPRQjdGDkeqe+8yt21WnpecnAxAN9MxvnN6kkCDVo3Zsly5NyTranKOLOC+rlOU+IrDK0gvPn5+ZExP6HoD4JpdDEl2Fa6pXxU190AZI2PrL0VtuG8RwCspCf9Ro5RY4QcfNNr3TGkGjcHXJymx7LQSDu4ubOIOIYQQ4tImyaIQQlxkkvoNxGS2uNvlBfkcTd131uNOigwmwOj5a183BlHr05vc0BpqTZ7ksKq0hGPpqZ73SXIlSH6ajQzaYtM9xXLCmQ147jVbw/A+nESyl40uYZ5ZSIAPd3/oaVzxNBhc+zMD42owWJz41BQRVJKu3NO1Vj0OeE0T+xYBwh64X2lXrvqJmpTUJnqfmTadQonrrB7r8fO8DJyOs0/mhRBCiIuNJItCCHGRsfj40q6vuoxz/5pVZz2un9HI9VHqTF21/yicBjgaoc4uHqhTFdXf35/Y2FgAEkzlrHV2dV8zaqVU+WUo94ZmTuDYwXk80O0BJf5d5nccKT9yvFM76ONaOmow6QQnVAHQKlctQ+7MqoQ6qzx3Hi2luLKWxvj07o1Pz55KrOjDDxvtezYGXZ8IdWoVFB+rZP/6nBZ/jhBCCHGhSbIohBAXoU5DRyrtlPVrcNjtZz3uXTH1C910wWEMabAUte6+RfAsRfXVbGzV1T2V3vb30etkdF5VrahJKWRYq74kBHnOcXToDmbsmeG5ccQfwewHQEhSJaATkb8Ng9Nz4H1lUQ2Dgz37BHUdfs5ofNmnpmmE3n+fEitdtAjbsWON9j9T4a0D6DhA3cuycf4BbNaWO65DCCGEuBhIsiiEEBehhJ698fbzJEk15WVKldIz1TXAl+7+Pp6AZsDqO5ijEdU46yR8BYeyKMv3nPF4IlkEKDWGU6t7lofGaXvJD1CTzdCsseQdXch9XdXk7Zv0byioPr6U1D8SBj8CgCXAgV8rK2Z7NeEFu5R7+uGltJvatwgQcMUVWOLjPQG7naKZs5rsf6b6T2qH0ez5Cq0srWXH8kMt/hwhhBDiQpJkUQghLkJGk5n2A4cqsX0tUBUV4KZodc9drf9waixO8kKsSjxji2dJaKtWrfDzc80CapqJbXp7tW/td0rbuyyBws0bmJAwgWg/zyyc1WFl9t7Zno6Dfwu+rtlOT6EbdSmqT04NxjpLUVenFTRZgVQzGgmtVxm15IsvcJS17BEXAaHe9LiijRLb+v0hqsoaXyIrhBBCXIokWRRCiItUx6Fq2e30zeupraluovepuzYqGGOdPXc2cwx2c1sORzW9FNVgMCizi5lagtJ3oL6II35qkRefzK7UVh5iSpcpSvyLlC8ory13NbwCYMBDAPhHWzH72Qkt2ov5xHXAYXXSwemZyTxaUk1mQWWTny9o8mSM4eHutrOqiuLPv2iy/5nqPbYt3n5md9tmdbBt6cEWf44QQghxoUiyKIQQF6nWHbvgH+ZJeuxWKxmbNzRzx6mJsJgZFRqoBgOv5EhklRI6vGcX1ipPrG6yeECLpxZPAtfGkM+3NrXQjV9RZ46s+pbrk68nxMtTWKfCVsEXKXWSt/4PgMUfzeCaXTToTqLytihjDTKqhxqvbqYqqsHLi9C77lJiRbNm4rRam7jjzHj5mOg7Pl6JpWzIwSGVUYUQQlwmJFkUQoiLlGYw0HHwcCXWUktRb6xXFdUeMJQSPyelvp7iMk6HnYM7t7rbiYmJaJprSrIWC6m6OruY4PyBbO8aJaanWDA57dzZ+U4lPmvvLGrsx/v6hEBf19LR4IQqNKPeYClqaJkDnzo5WHP7FgFCbr0FzdfX3XbkF1A6f36z95yJLsNjsPh4kubqchuH9xa1+HOEEEKIC0GSRSGEuIjVr4qatWMrVWWlZz3u1eFBypmLFU4z/iEjml2K6u3tTVxcnLu9T0tW+k4wrue/9WbV/At6kLniA27teCt+xyufAhTVFPF1+teejgOngtGC0UsnMK6agPJD+FbVOY7CCR1tnvMd12UUYmtmBs8YFETITTcpsaIPP0J3tuysn8lsJKlPpBJL2SDHaAghhLg8SLIohBAXsYi2CYTGegqp6E4nqevXnvW4PkYDEyODlVh49M0NlqKmb92A0+k5EqJ9e09hm1TaYdc8e/ZitULKbHvJN6sJp31/LV6OWm7ucLMSn7F7BrYTx2QEtoKetwOupagaEJ2jHt/R3eF5VmWtg22HSpr9jKH33A0mz6xfbWYmFStWNHvPmegwUD1GI3N7AdYqWxO9hRBCiEuHJItCCHER0zStwexiyy1FVaui7q4JwDu+HVaTJzmsrajkWGqKu11336INM6m0U8aYaFrHe7qmxAJy+pGx5r/c3fluLAaLO55dmc2SzCWejkN+B5oBn1Ab3mG1ROVuUsaJrNUIcXjGPtlSVHNMDEETxiuxwg8+bPaeM9EqMYjAcM+eSofdScbW5t9NCCGEuBRIsiiEEBe5jkPUqqjZKXspzcs963EHBvsR6+WZratx6vRs/yhHI9R9h+tWL3D/OSIigqCgIHd7l64uRR1v3MBSew3FJs8REppuwpHqxNdZw7VJ1yr9P9j1AU79+NLQ0HbQ5TrXH5Mq8bEWEVySqvTvXOtZitpckZsTQu+7X2lXb91K9a7dJ73vdGiaRvsB6uyiLEUVQghxOZBkUQghLnLBUdG0at9Rie1fu+qsxzVoWoMzF/fYotCSwpVYyuaf3ecaapqmzC6mkYDd4OVuR2kl9NFS+LDeOYhBR4eSvu5VpnSdgkHzfPVklGaw4nCdpaFDHwcgIK4ao5ejwVLUzjYjHB9655ESSqqaP9fQu0N7/AYPUmJFs2Y2e8+Z6NBfTRaz00ooKzj7Y06EEEKIC0mSRSGEuAR0qje72BLJIsCN0WpV1J9LKhkz+hGcmifZ8y5xsHzXIne77r5FOybSjers4jXG9SxwWKkw2t0xg9MLPcNIsF7J2PixSv8Pdn3gTkaJ7gbJYzAYIbhdFZH52zA4PAlhsNNArMP11eXU4eeMwpN+xpC771baZYuXYMvLO+l9pyM4ypfodupxJKkbZXZRCCEuJllZWWia5q7s3ZwT/bKyshq97nQ6iYuLQ9M0IiMjsdkuz73qkiwKIcQloMOgYWgGz1/ZBYcPkn8o66zHTfL1pmeArxLL9OpATbR6ruG333uWi8bHx2OqUzhmm03dtzjOuAEnTmbrDiUefPgK0jf+H/d3U5eG7irYxca6M4hDnwAgJKkKk7Oa8MKdSv8udZaiTpu/h5eXpnC4SC3MU5f/8OFY2rb1BGw2Sj7/vMn+Z6rDwFZKe//6HE8SLIQQ4rKydOlSDh8+DEB+fj4LFiw4yR2XJkkWhRDiEuAbFEzb7r2UWEsVurmp3uzi3Nwieg26SolZMsv4Put7158tFuLj493X0mmL3eRJOCO0MgYY9vGV00q15jmqwmj3Qz/oQ4SzlBGt1ZnS6bumexptB0HcIMx+DvxjahosRe1Qa8R4PAfLK7fy5o/pDHtpBXdMX8+3249SY1OTVM1gIOTuu5RY8Wef47Ram/mpnL6kPpEYTJ7fVpfmVZObWdaizxBCCHFx+PBDV8G02NhYpX25kWRRCCEuEY0tRW2JcwOvjQyhTo5DWpWV0N5jlD7RRd78d8Ob7qMu6u5bdGAiy6uL0n+iYR3VwFyDXYmHHryatO0vcn9XdXZx/bH17CnY4wkc37sYklRFaPE+zLXl7kveaCTaGn59rU0v5Hefb2fAv5fzt293szfbk6gFX3sthoAAzzsXF1O2cGFjP44z5u1nJr5bvf2eUuhGCCEuO0VFRcyfPx9N0/j8888xGo0sWbKE7OzsC/1qLU6SRSGEuEQk9RuIyeIpJlNekM/RlL1nPW6YxcQVoep+u0W6FwHRUe62Qdcgq5Cv074G1GQRYFNVa6U91rgRIw4+c1ix19n/aKoNxnAkiNYU0ieqj3KPMruYPAaiuuIXbcXbv5aovM1K36t8/fExG2lMabWNj9cdZPwbq5n45hpmrT9IucFC8E03Kf2KPp7Z4stEO9Sripq2OReH/ewTeiGEEBeP2bNnY7VaGTlyJEOHDmXMmDE4HA5mzmz5AmoXmiSLQghxibD4+JLYp78Sa6lCN/Wron6TV0Jy38FKrE2uD29te4vimmJCQ0MJD/fMoqXrbbCbPTN3oVoFgw17KENnY6Ca1IVmjSdt90vc3/U+Jb780HIOlB5wNTQNhj6OpkFIUiXRuepS1IAiOz/9bhj/vq4bPdoEN/m5dh0t5ZlvdtP/Xz/wflhvqLPv05qaStWGDU3/UM5A265hePl59nNaK+0c3H3yIjxCCCEuHR999BEAU6ZMAeDee+9V4pcT08m7CCGEuFh0HDqSlHWr3e2UdWsYNeXXGE3mZu46udFhgQSaDJQdnwUrtNkpSeoCfO3uE5vvw5rqI7y46UVeGPYCycnJFBS4zjp0YORoQC/aFv3k7n+NYT2rnd15tayMQZofmu5a62qpjsSUE07bDvl0Cu3EvqJ9AOjofLDrA/419F+uATpfCz/+k6CEgwTuzMK38hhVfq4iMk6nzrFdxdw+Ko7bB8SRklPOF5sO8/W2IxRXNaxIZ7U7mZ5WQ99O/Wi7x5MgFn08E7+BA8/qZ1eX0WQguW8Uu1cddcdS1ufQrmdEiz1DCCHOxL6OnS70K5yVTvv3XehXAGDbtm1s376dgIAAbrzxRgAmT55MWFgYqamprFmzhqFDh17gt2w5MrMohBCXkISevfH283e3ayrKydqx7azH9TYamBShFrr5zi9CeZa3zUhEiReLDixi9ZHVDZaibqyMVdpjjRsxY+eY7uRoK7XiamjWBA6kvsK9XdRjLRYdWMThMld1OYwmGPI7jBad4PjqBrOLKeuPuf/cITqAZyd2Zv1fruSt23sxLDmcxiqjT48aoLQrVq6ktomy6Geqw0B1KWrWrgJqKi/PkupCCPFL88EHHwBw88034+vr+m6zWCzcfvvtwOVX6EaSRSGEuIQYTWbaD1R/Y9lyS1HVZHFpcQWxPdR9hW3yfAD4x/p/EB4TjsVicV/bZ43A4RXsbgdpVQwx7ALgPbt6QL13eRzm/Eg6GnKJD4x3xx26g/d2vefp2ON28I8iJLmS6NxNyhh5B8spzqlUYl4mI9d0j2HW/QNY/cdRPHZVMv5enkU0mwPaYEvq4LlB1yma/UkTP5EzExUfSHCUJzl2OnTSN+e26DOEEEKcf1arlc8++wzwLD094UT7yy+/pKKi4ry/27kiyaIQQlxiOg5Vq6Kmb15PbU11E71PXf8gP+K8Pcmf1alTkKRWOU045ofRATmVOby14y0SExPd15wYyQ1VZ+5+ZfwOP6r5Ma8MW0KAci00cwKHDvyXX3WdosQXZCzwzC6avWHQVLyD7YQE5BBcnKr0ba7aaOsQXx67qj3XdK9z/qGmsbH3aKVfybx5OMpa7ogLTdPoMCBKie1fL1VRhRDiQtPqLDlprsBZ3Wt17/n6668pKioiOTmZIUOGKPf06tWLnj17UlFRwZw5c1rwrS8s2bMohBCXmNYdu+AfFk5FoWu/oN1qJWPTejoNG3VW42qaxg1RIbx60DMLtji0NUONJpwO1xEY/tUmuh4IYkdyKZ/v/5x/tP0H1NlGsq02npg6Yw4x7mGB9lcesT3K0pA4JmR6rvmWdMBcHEHHNgeJD4wnqywL8Mwu/nPIP10d+94Hq192zS5mbqAkpL17jNT1OQyY1E75Mq9vTJcoPt902N3+wJTI8PBwHMf3W+pVVZR8NY+we6ec3g+sGe37R7NhvufD5maWUZJbpcw4CiHE+XSx7Pm7kE4sGwWorKzE39+/0X51Zwbr9jmxxLS0tLTRfYm5ubnufvfdd1+D65cimVkUQohLjGYw0HHwcCW27xxVRV1b4yRhxFVKrHtGEAGVJnR0ZuXPUq5tLvTGEdFZibUz5DDP8ixlKR9hiVeP6AjNnMDRwx9yf5fblbgyu+gVAP1/TWDrGlqVb8Hg9Oz/Ky+2kpdVTnMGJ4bjZ/FUZD1W5aBmwnVKn+LZs9EdjmbHOR2B4T7EJAcrMTlzUQghLqzQ0FD8/PwASE9Pb7JfWloaAH5+foSEuLZoHD58mOXLlwOQl5fH2rVrG/xz7JhrL/3atWtJTU1tfPBLjCSLQghxCeo0dKTSztqxlaqy0rMet52vF30C1dmvA8PH4xsU7G4bnRoD94SCDqlVqRiDPImYjoHUns9ApLp81Uuz86TjA3SbWlbcv6An5vIw2jtSmt+7OOA3aF4+RMQXEVa4Rxkj7ST7Ab3NRkZ2iFRiy5OHoNXZb2k7epTyH39sdpzTVb/QTcqGHHRny57rKIQQ4tQZjUaGD3f9svWrr75qst/cuXMBGDFiBIbjRy599NFHOJ1OrrzySnRdb/Kfm46f6Xu5FLqRZFEIIS5BEW0TCGsd527rTiep69a0yNj1ZxfnlloZfqe6nCa2wIf4HFdSuVfbq1zbnV0Jv1oOfdTN/wCRBR9hNh1QYqGZE8g59hn3dbpJiSuzi37h0PtughMriczfrPRLW3fkpEnYmC7qHsIFB6sJnHiNEiv+uGUPU07sHYnR7PmaLS+s4VjG2Sf0Qgghztwf/vAHNE3j5ZdfZtGiRQ2uL1iwgFdffRVN0/jDH/4AuPYwfvzxxwDcddddzY5/4vrMmTNxtOCKlQtFkkUhhLgEaZpGxyFqoZuWWoo6KTIYc509gAeqrdR070+bzt2Ufv33hmC2aWT7ZCvxjIwMHAYLTHyNlGFvUKb71HlvCNTU6qMBOQMwVYWQaNva/Ozi4Ecw+xuI99qMwWF1h6uqdI4daD4JG9khEpOhzmfKr6TymhuVPlWbN1O9Z0/9W8+Yl4+JhB7hSqzucR9CCCHOvyuuuIIXXniBmpoarrnmGrp27cqtt97KLbfcQteuXZk0aRJWq5UXX3yRUaNctQBWrFjBgQMH8PX15frrr292/LFjxxIeHs6xY8dYvHjx+fhI55Qki0IIcYnqVK8qanbKXkrzzv6IhlCziavC1L2Fc/NKuPL+hzEYPXXRfK0meqYFU+RVhNXgSd5qamo4cuQIAMmj7uY+r5fZ4Wznvu5t2IhJO+huaxgIzRpHfv5C7ukwSXmuMrsY3Aa63UxEYjHhhbuUfqmrD9KcIB8zgxLDlNgyawC+AwcqseKZ6h7Ms9VhgLoUNX1rPvbaS/83zUIIcSn74x//yPr167nrrruoqqri22+/Zf78+VRVVXHXXXexfv16nnzySXf/jz5ybaGYPHkyAQEBTQ0LgNls5tZbbwUuj6WokiwKIcQlKigymlbtOyqxc3Xm4je5xQTExNJ3oloYplNWAKHlZnJ91CT1RHEAg0Gjf+8+3Fg7jen2cQBomk6Aaa76WY4OxWgNJNG6qfnZxaGP4RtVS2zZRuX+jC25OE+6FFVN3JbuySX07ruVWOl332HPz292nNMR1zkUnwCzu11bbSdzZ0GLjS+EEOLM9O/fn5kzZ3LgwAGqq6uprq7mwIEDzJw5k/79+yt9Z82aha7rfPrpp6c09ptvvomu68ybN+9cvPp5JcmiEEJcwuoXutm3ZmWLjHtlWCDBJk/hmmK7gx8Lyxl4/S0ERnj2/xnQGLg7jGM+6vLKulXgru8diw0Tz9nv4v7a31Os++Nr+AkjngRT0y0k7BxFUdGP3NfpFmUsZXYxogNaxwkkR2zCaPecLVljN3F0f2Gzn2l0J3Xf4vbDJVT2HoA5zrP3E5uN4s8+b3ac02EwGmjfT01SU6UqqhBCiEuEJItCCHEJ6zBwKJrB81d54ZFDFB45dNbjehkMTIoMVmJf5hZh9vLminsfVOKRJV4EFJaj45nZy8vLo7TUtY8wKTKAHq2DAFju7MN46/McC+pGgOlrZRxT8RjaZul0NeU3mF38387/eToO+R2hCaVEFO5Q7t+3cGeznyk6yJsebdTP9MP+fELrFSso/vxznFYrLaV+VdSDe4qoKqttsfGFEEKIc0WSRSGEuIT5BgUT17WHEktdv7ZFxr65XlXUZQVllNjsJPbpT1I/da9fz7QAig15SuzEUlSA63u3dv/5GGHc43wWn+GdMVDijuv4EnbwSnIOfcGvu/1KGWvhgYUcKjueBMcNwJg4gAR+VvpkZVhxOJzNfqYxndXZxaV7cwm67joMdQ5ddhQVUbawYYW8MxXexp/QGD93W3fqpG06+72lQgghxLkmyaIQQlzi2g8corRTN7RMstgn0JcEH89ZhLW6zvy8EgBGTfk1Ji8v9zUvmxGfvKPK/XWTxYk9YjAbPdVI0wpq2N1pKv591UIBVbXX4VtQRr9A74Z7F3fW2bs45He0b70Jk63SHbJpXmStSmn2M11d7wiNdRkFVJosBN9wgxIvmjkTXW+ZMxE1TWtQ6CZFlqIKIYS4BEiyKIQQl7ikfoOUpagFh7Ioyj5y1uNqmsYNUers4pycIgACwyMZfOPtyrXIfCfGqnJ3Oy0jDbvdDkCon4VRHSKV/vO2HsF/wlA0g2dJpo4/4RnXkZ3+Kb/p8RulvzK72H4s/h3iaFW2Remz7zu1Smp9iRH+tAv3zPLZHDor9ucRctedUOdnaE1JoWrjpmbHOh3t+0eBJ1cm/1A5RdmVTd8ghBBCXAQkWRRCiEucb2BQgzMQW2opav2qqJvLqthb4Sos03v8ZMJaxynXLTlZoLuWgjrtTvam73Vfq7sUFWD+jmzsZgOB3aqUuLF0NJX5mYyM7t707KLBAIMfJdlvjXLv0RI/bBXqeHVpmtawKureXCytWxNw5RVKvGjmzCbHOV3+Id607qD+LGV2UQghxMVOkkUhhLgMtB84VGmnrl/TRM/T09bHi4HeJqxb1mM/chDdbuOjo66jH4wmE1c98LDS32S1Yin07Mf7+mdPEZtRHSMI9vUcI1FcZWNlSh7+4/ph1OpWUzUSlXIT2emfNT+72P1mkjscxWzzzGbaTT6kfPpjs59pTL2lqCv352G1Oxoco1Hx44/UHjr7YkEn1C90k7oxB/0kx30IIYQQF5Iki0IIcRlI6jcQTfP8lZ5/MJPiY0ebuePUXesDVV/MpORPU8mbMITXrhjMlWPGMHXqVL5csozy0Ghyy8qxOVyHzVsKjqHZXNVEq45WkVWcBYCXycjE7jHK2PO2HkULjiY4YoUS9y3qQcme3YyJu6rp2UWTF6ZhDxJXu0G5N3Vd85+7Z+tgIgI8+y0rax38nFGIT9++eHXu5Omo6xR+0HIHKrfrGYHJ4vlvVFFs5WhqcYuNL4QQQrQ0SRaFEOIy4BccQutOXZRY6oafm+h9eu7s3oUur79P+CcLiVy4lqDn36LTHVPo0KEDmZmZrNiTwts/rufPXy1h6Z5UNN2JV47rXEQfhw8fLvUkXNf3jlXGXr4/l5KqWry7x2DR1P2GoenjKTy8ovnZxb730ilqo3I9zxRH+fbdTX4eg0FjdP2qqHty0TStwexiyZdfUrNvXzM/nVNn8TbRrleEEtu54uz3lgohhBDniiSLQghxmThXS1FNBo27Y8IA0MxmTG3asrFtB3z9/NixYwe79+wlOCSE+PAQRnZMBMBcUYKxvASA6rRqDpYcBKBnm+AGBWYW7MhGaz+aYPN0wHP0hVdlLEUrtzA2fmzTs4veQcSNHoS3zTND5zB6kfLJ8mY/U/0jNJbtzcXp1AkcPx5zmzaeC04nOf98rsUqo3Yc2EppZ+4oIP9QeRO9hRBCiAtLkkUhhLhMJA8YDJqn5GZeZgYluS1TROWOmDAsmob96GHK33mFzddexQdz5vLoo48ybNgw+vTrx99/dQ8Wo9F9j3fuIXA68LP7MX3pdMBVYKb+7OJXW49CbF8svgX4GtUkz+9Ab6rzDzc7u6gNeogE43rl+oEsB46ysiY/z6DEMPy9TO52QYWVbYeLMVgsRP3lz0rf6q1bKZs//2Q/olPSumMIkW3V40I2LDjQImMLIYQQLU2SRSGEuEz4BYfQuqO6FDWtBc5cdDqdbF7+A9rfHqfot3eDwUDYf2eT8O/X+PTTT3E4HHw5dy5jf/2IcoSHwVaLpcBVuKYqrYqskiwAru2lJovbD5eQUVQD7UYRZJqJRrX7mtHmT97XPzc/uxgYQ6cBFmXMwuDOFHz1bZOfyctkZFRH9SiPpXtchXkCRo3Cf8QI5Vru//0HR0VFMz+lU6NpGv0ntVNiB3cVknOg9KzHFkIIIVqaJItCCHEZSR4wRGmfzVLU4uJiXnnlFdq3b8/TTz/NlJtvJuLzxQQ8+BiGiEjmPTGVkqpq5s6di5eXF5Hx7eg9bqIyhqUoDxx2AmwBTP/BNbvYOsSXge3U8xu/3noUkkdj1IoJMH2pXDMfjMGeV9ns7GL0NXfi68h3X3MaLaTO39js8tH6S1G/35Pj7h/117+gmT2VWx0FBRS8+VazP69TFdc5lOh2QUpso8wuCiGEuAhJsiiEEJeR5AGDlHZORhpl+XmnNUZpaSl///vfSU5OZuvWrcyePZvNmzcz7eEH6REegm63UfrcX9CtVgb/5y28vDyVRQffdAe+QcHutqY7MZe4jtqoTKnkYKlr72L9Mxe/3nYUZ7srAQgwfoORvDpjGMmfs7HR2cXXtr6GrutoUZ1IjjmsjJltTKRqg1r8pq6RHSIwGz3LdrMKq0jPc80eWuLiCH3gfqV/0ezZWNPSmhzvVGmaxoBJCUrs8L5istNKznpsIYQQoiVJsiiEEJeRgNBwYjp0VmKpp7gUtaKigueff57k5GQOHDjAhg0bmD17NgMHDkTTNDRN467IIEr/9Vf0mmqC//4fviyqpMrhKUpj8fGl19XXKONaivNA1wmyBfH+8vcBGNc1Gm+z5yvoaEk1GwosENUNTaslyDxDfblsL2wHyhvMLi47uIxv0r8BoMP4gcq1wtDO5H30QZOfN8DbzODEcCW2dK/njMjwX/8aU0ydgjQOBznP/atFit207hhKbPtgJbZh/oEWK6QjhBBClZ6ejqZpmEwmyprY0/7CCy+4v+82bNjQaJ+FCxeiaRqtWrm+H7Kystz3+Pv7k5ub2+h9BQUF7n6XEkkWhRDiMtP+NJeiVldX88orr5CUlMSOHTv46aef+Pjjj0lMTGzQV1/zI2ZbLcH/eBnN4kWJ3cE3eepZgd1Hj8NYZwmnwVaL6Xhl1Ir9FWSVZhHgbWZsF/WQ+nlbj0DyVQD4GH7CoqlHVhTN28vVcVfTKbSTEn9+4/McKD1AeL/BBBgLPe9qMJGZasOW2/TM6pgu9Y/Q8BQEMvj4EPXUU8r1qg0bKF+8uMnxTkf9vYvZaSUcSZFzF4UQ4lxISkqidevWOBwOVq9e3WiflStXNvrnxvqMGjWqwbXKykr++c9/nu2rXlQkWRRCiMtM8oDBSvtYWgplBfkN+tlsNt5++22SkpJYs2YNy5Yt4/PPP6djx45Njn3Xbbfxx5mfolk8S08/PFKgzIj5BgbRaaj6JWoudv2mNbg2mOkrXHsX6y9F/W7XMazxrqWomgZB5veV684iBzVb83lh+Av4mHzc8Wp7NX/66U/YdDvte6uVRnMj+lAyu+nZxdGdo+oWkGXHkVKOlXoK7ASMHo3fYPXnmfviSzgrK5sc81TFJAXTprO6d3OjzC4KIcQ5M+J48bLGEkG73c7atWvp0qULZrO5yWRx1apVAIwcOVKJm0wmLBYL7733HgcOXD770CVZFEKIy0xgeAStkjsosbQNPyvttWvX0rt3b7799lvmz5/PvHnz6Nat20nH1jSNe2LCqLuIZndFNZvLqpR+vcdPUtqmqgoM1a4Eq2xfGZklmQxJCicywJN0VtY6+L6sDXgFAuBlSMXXsEIZp3RJFvFecfy5v3q8xf6i/by65VWSr1YTu+KQDuR9tQjdbm/080QGeNOrTbAS+6HOUlRN04h6+mmoM1Nqz82l4N3/NTre6RowUZ1dzDlQxqE9RS0ythBCCNWJBK+xRHDLli1UVFQwduxY+vXrx9q1a7HX++4oKytj27ZtQMOZRS8vL379619js9l45plnzsn7XwiSLAohxGWowVLU4/sWCwsLeeCBB7jlllt49tln+f777+nTp89pjR3n48XosEAl9tHRAqUdERdPXNceSsxS7FoOGmoNZfqq6RgNGtfVO0bj8y050M5zbEWg+WN0zepu61V2ylce5tqkaxkbP1a5d/a+2exhOyFBdfprRo55daT8+4VNfp4x9ZbDfr9H3W/i1S6BsHvuVmKFM2ZgPZDZ5JinKiohkPhuYUps4wKZXRRCiHPhRIK3bdu2BvsWT8wYjhgxguHDh1NeXs6WLVuUPmvWrMHhcBATE0NycnKD8Z955hn8/f357LPP2LFjxzn6FOeXJItCCHEZaj9wqNI+un8P77z5Bp07d8bf35+9e/dy0003nfFG+/taq4VhFuSVkGe1KbHe4ycrbVNpEZrd1ad0XymZpZkNlqL+nFHIkTBPomvSCrD4fK30KV99FEexlWcGPUOMX4xy7ek1TxMzQI3lRvahZHrTx17UP0Jj/YFCSqvUzxL2m4cwRdY5l9FmI/dfLVPspn+92cW8g+Vk7ihoorcQQogzlZiYSJs2bRrdt7hy5UoMBgNDhw5tcrlqc/sVASIjI3n88cfRdZ0///nPjfa51Jgu9AsIIYRoeYERkUQnJpOTkUZOaTlfbdmN7440Fi9eTO/evc96/OEhAST6eJFR7ZrFs+k6s48V8kS8Z5auXa++BEe3oiTnGAAaOubiPGojYgmvCef9Ve/z70n/pn98KBuzPEsv3zqcwAt1nhXu+JLDljGYao/v73PolC7OJOyOTrw4/EWmLJmCQ3cAUGwtZq75YzrhqchaEpxM0bpyotJS8Kq3PBegXYQ/SZH+7mMz7E6dFSl5XFtn1tPo70fkn/5I9u//4I5Vrl1LxfLlBFx11Rn+FF0i4gJo1yuCA9s8+0o3LsgkoXs4muHSqponhLh4vf2bHy/0K5yVqe9e0SLjjBgxgtmzZ7Nq1SomTJgAgMPhYO3atXTv3p2QkBCGDBmC0Whk1apV/OlPf3Lf29R+xbqefPJJ3nnnHRYvXsxPP/3E8OHDW+S9LxSZWRRCiMtUYr9BLN+bzjsr19MrLoa/3nJtiySKAAZNY0qsOrs482ghNqdnpk0zGOg9Tt27aC7OB6frqI3ifcVklmYy9Yokpc/nKQ6soZ6kzqhZsUZ/rvSp3lWANbOUnpE9ebjnw8q1VRXL0MJrPAHNQF5EL0r++68mP0/92cWle3Ma9AkcPx7ffv2UWO6/n8dZXd2g7+nqf00CdTeCFh6tIGNbw6JEQgghzk5j+xa3bt1KWVmZO7ELCAigV69e7mWn4DpeauvWrUDTM4sn7v3LX/4CwFP1KmpfiiRZFEKIy1B2djZ/fPkNUnLzeXz0UAYntSU7dR+VJS13NMPN0SH4Gj1fIzm1NpYUlCp9uoy4EouPr7ttcNgxlblmEaOqo3hv9XsMTw6nW2yQct9aeiltf36kOlCtLley8AC6U+f+rvfTL1pN4jb4/qC08yL7UPLjpiarmF5db9/iypR8amwOJaZpGlHPPA1Goztmy86m8P3pjY55OsJi/UnuE6nENi44gNMpexeFEKIlnUj0TiSI4EkcTyw/BRrsW1y9ejV2u53WrVs3erRUXQ8//DBt27Zl3bp1fPPNNy3/Ic4jSRaFEOIys2jRInr37s1VY8bw7JTbCfY9fsyErjeoino2gswmbowKUWIfHlVnwyw+vnS7YowaK8qF43v9ivcWk1mWydRR6hfvB7nqbGN4cS357T9VYrajFVRty8NoMPL80OcJ8vIknGlhalGC0qBEqgim7KOXGv0s3WKDiA70drerah38nNFw36B3+/aE3nmHEiucPp3aw4cbHfd09LsmQTnGozinirRNjR/uLIQQ4sy0a9eOuLg4HA4Ha9a4ziFetWoVmqYpS0br71s8sQS1uVnFE7y8vJg2bRoAf/3rX92zk5ci2bMohBCXCavVylNPPcVXX33Fl19+ybBhw9jwzZesOeip2pm6YS09r57QYs+8NzacmdmF7va6kkr2VVTTyd9zDmKvsdew9bv56Lpr+anRWo2xqhyHXyDRVdG8t+Y9/j3ueRIj/MjId838bXS0x+rlg5fTtcTTy+bEaNlPWdRGAnP7u8cu/+kIfn2iiPKL4h+D/8HvVvzOFfcuItc/i6iKeHffvIg+BM7+iqBf/QXNy3NkB4DBoDG6cxSz1h90x5buyeWKjuryVIDw3/6W0kXf4ShwJZN6bS25/36eNu/894x+hieERPvRfkA0Kes9S2A3LcokuW8kBqP8blcIcXZaas/f5WDEiBHMmjWLlStXcvXVV7NmzRo6d+5MeLhne8WwYcPQNI2VK1fyxz/+0Z00Nrdfsa67776b//znP+zZs4eZM2cyceLEc/BJzj359hFCiMtAamoqgwYNIisri+3btzNs2DAA2g9Uj9A4snc3VaUlLfbcTv4+DAr2U2L1j9EIiowmqd9AJWYuynP/uXBPIVnlmTw80jObaMPEansX5Z6woloKkuega57f0Npzq7DluBLMK+Ku4NYOt7qvZYRtU+7PjexNbYmD4rf+2ehnGdNFTQyX7c3F0cgyUGNAAJF/+L0Sq1ixgvImDnA+Hf0mxCtFbUrzqknZ0HD/pBBCiDNXd9/i9u3bKS0tbVCIJiQkhG7durFmzRpKS0vdy1FPZWYRwGAw8K9/ufbKT5s2DavVepI7Lk6SLAohxCVu0aJFDBkyhPvvv5958+YRGhrqvhYSHUNEvOdoBl13krZxXYs+/77YCKX9ZU4xpTb1IOPe49VCN6aKErRaVxGa2KpY/rf2f0zqGUPrEM+M5I8O9ZzGyBIzNt8CKkP3KPGqHZ6lr7/v+3uSQ1xnX9VPFssD46n2DqNg1jwcJSUNPseAhDACvD0Lbgora9l6qPE9nkGTJuHTS91Xmfvv53Ge5f8MBEX40mmQun9y06IsHHbnWY0rhBDCo+6+xQULFgDqfsUTTuxbfOONN7Db7cTFxZGQkHDKz5k8eTKDBw/m0KFDvP322y3z8ueZJItCCHEJe/vtt3nggQeYP38+U6dObfTcxPYD1NnF1A1rW/QdxoYHEW0xu9vVTidzctQkK7ZjFyITPPsSNcBSZ3axYE8Bh8uzeHCEp88qR3dljIDScox2J+Wt1ivxqh357vMOvU3e/N/w/8PL6EWlVynZAelK39zIPjhqdApefLrB57CYDFzZUS0ys2jnsUY/s2YwEP3sM2DwfI3aDh2iePYnjfY/HX3Gx2Mwev47lhfWsO/nxt9DCCHE6UtISKBt27Y4HA7eeOMNgEaPuDiRQL766qvAqc8q1vXCC67DoF5//fUzfd0LSpJFIYS4BDkcDp544gnefPNN1q5dy6BBg5rsW38p6uE9O6kqK22i9+kzGzTujg1TYjOOFuCsc2C9pmn0GT9Zva+0AI5v+m9d2Zr/rfsfN/VpTUSAaz/hUSJIc3rOOtR0J+HFBioit+I02NxxR1ENtiMV7nZicCJ/7PdHADLC6y9F7QtA0bfLqc3KavBZxtSrivrpxkMcKa5q9HN7d+pEyK23KLGSL790J65nKjDMh85DY5TYlsVZ2G2XboEEIYS42JxIBIuLi2nfvj2tWrVq0OdEAllc7PoF6KnuV6xr2LBhjB8/nqqqxr9LLnaSLAohxCWmsrKSG264gW3btrFu3TratWvXbP/QmNaEx8W727rTSfqm9U3fcAbubBWGuc6sZka1lZ+Ky5U+7QcNwy/YUz1VczpdCSOgoZG3J4+jlVn8aphnic9Kp7oUtbU1EqephsrwHUq87lJUgJva38RVcVdxIHQHTjxJVqV/LBV+MeCEvH/+pcHnuKJjpDtZBai1O3lxSUqTnzv8kUfA7JlVrc3KombP3ib7n6o+Y+Mxmjxf0RXFVvauyT7rcYUQQrjUnSVsbFYRIDIyko4dO7rbZ5IsAjz//PMYDJdm2nVpvrUQQvxC5eTkMHLkSIKDg/n+++8JCQk5+U00XIqa1sJLUSO9zEyMDFZiHx5RC92YzGZ6jBmvxOoeo9Gmog3/99P/cUu/WIJ8XAnYqnrJYmBePug6ZdEblHjl1lx0pzqTOW3wNAKDfTkSlKr0zYlynclYvnYbVZs3K9e8zUaevLqDEluwI5stB4sa/dymkBD8jxcTOqHs+P6Xs+Ef4kWX4fVnFw9iq5XZRSGEaAlTpkxB13V0Xef9999vst++ffvc/eLj4xtcj4+PR9d1KioqGt58XPfu3XE4HO5xLiWSLAohxCVi//79DBw4kEmTJvHRRx9hsVhO+d72A4cq7UO7d1D9/+zdd3iUVfbA8e87LZlJ7xUSeugdpCOIBcSCvQOuuuvuWra562/doru6umtZexfQxQJWFKUpvfceICGE9N7blPf3x4SZ3EkhwWDB83keHnjPe+87M9nn2fHk3ntOVWUro8/MnIRI5XpFcQWZtWrBl8EXXILR5C0iY7A3YKoqc/8bAzVHa3hh71PMGZcMwFZXCjW6d6XPUFVIkvV8qqP24DLWeuJ6jYO6tDLltUL8Qnh84uMci1J7LubEjkDHvQqa//BD6C61eMzVwxLpHx+sxB7+/BCuFiqjAoTMvFS5rli6FL0TemoNuygJk9n7NV1T0cCBtdnf+rlCCCFEe0myKIQQPwKHDx9m6tSp/O1vf+Ohhx5qsZBNWyISuxCR2NVz7XI6Sevkragjgm0MbNJfUQfmZRcrY2whoaSMn6zEmrbR6FLVhfcPvU9A5HYCLEYaMLPR1U8Z393Zl6CAvlRF+5xHXPl1s/c0PGY4Ef0s2A3epNVhCacsxF1Ip+5IBhWff67MMRg0HrpUfc09J8v4bE/L20ADJ0/GYLN5n19YSM22bS2O7YiAED8GTk5UYruWZ8rZRSGEEN8ZSRaFEOIHLjU1lalTp/LYY48xe/bsM35OL9+qqJvXf8t3ptI0jTmJ6uri2zlFlPq20bjEp41GTSWGOvfBf7NuJro2muf3Ps6k/u6vKN+tqIa01Qwe8Ro10er2UnKs5J9c1ux9XZZyKRlh+5VYbuxIz78LnngcV22tcv+87hFc7FPs5vGvDlPbwjZQg9VK0LQLlFh5J2xFBRh6UVdMFnV18bBURhVCCPEd6XCyqGnajZqmrdM0rVzTtCpN07ZrmvZLTdO+deKpadqjmqbpjX9+922fJ4QQP3ZHjhxh6tSpPProo9x6663f6ll9fKqinti3h7o2zliciSujwwg3Gz3XlU4XL2UWKGOik7vTpb/aFsNSku/5d3x1PC7dxba6JzAbtWZFbsjcjEW30HPi/ThN1Z6wyR5ExsbXqaxUC8xM7TqVrFi1N2NezDBcmns7rKOohJL585t9lj9NT8Fi9H615ZbX8era9BY/d/ClM5XryuUrvnXPRQBroIUBExOU2I5lJ3A6pe+iEEKIs69DCZ6maS8A/wNGAOuAFUBv4HlgsaZpxjamn+7ZI4E/4N65JIQQP3lHjx5l6tSpPPLII9x2223f+nkRXZIIi/dua3Q5HaTt2NLGjI6zGg3c3UXtVfhaVhGFDXYlNsynjYapogTN4R4TXxMPOtSRjy18Nyf1GNJcTUqau+xwfC2hCQMwRKvbcQPzhrF798+or/cmn1aTlUHDelBrapIYG2wUR/T3XBa9/DKOQrWialJEgOfs5Ckvr0kjr7yu2ecOGHMexvBw71usrKRq7dpm487EkGld1cqoJfUc2ZLXKc8WQggh2tLuZFHTtKuAu4E8YJCu65fqun4l0As4BFwJ/OpM3oSmaX7APCAf+PRMniGEEOeSY8eOMXXqVP7+978zZ86cTnmmpmnNVhc7eysqwJzESKIs3iI2tS4Xz51QVxe7DxtBaIw3AdR0HXOpO1nzc/kRWefezuoI/gpwsdalrkRydAUAkReOVMKBBcOx15WwZ+9dOJ3eraVX9L6ctIidytishBGef+t19RQ2NmZu6pdTehIR4C0kVGt38sSyw83GaSYTwZdcosQqlnzebNyZCAjxo+84tf/Xji9PtFpwRwghhOgsHVlZ/FPj3w/oun70VFDX9XzgF42XfzzD7agPA/2AnwOd1ylaCCF+hI4fP86UKVP4y1/+wty5czv12b7nFk/s3UV9JzcKDjAauTcpRonNzykip67Bc20wGBl6ibp101xaAI2VSeNr3G0jDJZSTCG7WO0aoozVj60AXce/dxiav3dTi9FpJaBoEJWV+zhw8Lfouvt5AyMHUp2snvUrDRuI3eQtyFP24YfUpao9FYP9zdw/rbcS+2hnNnuzypp9bt+qqFWrV+Os7JyKs0Mv7IrB4F1FLS+s5diO/DZmCCGEEN9euxI7TdMSgeFAA7DI976u62uAbCAWOK8jb0DTtNHAb4GFuq53TkUAIYT4kSorK2PGjBn8/ve/52c/+1mnPz8qqRuhsd5VKqfDQcaeHW3MODO3xEeQ4OdtVl/v0nnmhJrcDJh8ARart4qowenAVOHuZ9i9rrvnUIIlYjWbXX2o073P08qzoOgImkHDNlTd9hqUNxqAwsJlpKU/5R6vaUwecR7lfk17P5opSRzovXTpFDz+eLMeWNeP7EKfmCAl9vCSg83G+Q8ejDnRu81Xb2igcvkK3x/NGQmOsNLnPLXgzo4vTyi9JYUQQojO1t5VwKGNfx/Qdb22lTHbfMaelqZp/sB8oAS4t73zhBDiXGS327n22muZNm0av/71r8/Ka2iaRs+RY5TY0a2bOv11/AwG7k9Wk5uFucWcaNJ30WK1MXDKNGWMpdS9XdXYYGSAZYD7336FOIOOssmnhYZ+dDkAtiFqshhYOATN4Q/AiRMvkZO7GIDLes4kLUrdiprZfYRyXb1xE9U+Zw1NRgN/vrSvEtt+opSl+9Rzg5qmEXzpDCVW8UXnbEUFd9/Fph1TSnKqOb6nqPUJQgghxLfU3mSxW+PfJ9oYk+kztj3+CfQBfq3runzjCSF+snRd59e//jUWi4WnnnrqrL6Wb7J4fNc2HHZ7K6PP3HWx4SRbvef9HDo8maEmWEMvnknTDMhYV+Npo3Ft6LWE+7uLxlgivmnWQqNi35fue12DMIb6eeIGl4XAQu/vLQ8f/jOlpVuItEYSOkAtiFPh6osWb1Ni+U/8G92htvuY0CuKKSlqUvrYl4eo8+l5GDJT3VpbvXkL9gL1vOaZCo2x0XOEur13+5cZzVY4hRBCiM7S3mQxsPHv6jbGnCozF9TGGA9N08YC9wGf6Lr+fjvfR9P5dza27dhe6FPBTgghfmyefvppNm3axLvvvovReMaFpdslvlcfAkLDPNcNtbWc3L+n01/HbND4nc/q4uK8Uo5We6uJhkTHkjRwiDqvvBiA7PRs/nv+f7EYLBitOazzC1bG2XK3QkM1mqZhGxyl3AvO8SbEum5n7767qak5zvShF1AQkOm5p2GgpN8gmhbibkhLo2xRsxMXPDi9L6Ym5wazSmt5c8NxZYxfjx749W2yCulyUfnll82edaaGX5KkXBdmVpJ5sKTTni+EEEI01d5k8dS3Y6f8+lLTNCvwFlCBu8Jqh+m6/qqu6yN0XR8RFRV1+glCCPED9emnn/Lkk0+yZMkSgoLa9fu2b0UzGOgxYrQSO7Zt81l5rStjwuhl8676uYB/+6wu9p+sNrQ3lReD7qKoqIgELYFHxj0CQE7UHjJc3pU1M3aOb/8KAKtPshhQPACDPcBz7XCUsWfvHYyJGUR2rNqH8YB5KiHd1CI/hc8+16w4Tc/oQG4+T03WXvwmjYJKtZVGiM9W1PLPv6CzRMQH0n2I+lm3fyGri0IIIc6O9iaLp74xA9sYc+pee0q/PYq7P+NvdF3PPd1gIYQ4V+3cuZM77riDTz75hK5du35nr+u7FfXY9s24XM5WRp85o6bxh25q24fPCso4UOU9/t5z5Hn42byJncHpwFhVAcChQ4eY3n06dw++G5PtBGsNycqzMjZ/AoA5LgBTlLeyqYaBuH13KGNrao6TeeI5+oyKxYW3qX1DbTzG/qFoRm/MWVpK8SuvNPs8913QixCrt9BOVb2Dp5YfUcYEz5ihbK2t27ePhoyMZs86U76ri3np5eQcKeu05wshhBCntDdZzGj8O6mNMV18xrblSty/YL5N07TVTf8AFzeO+UVj7PV2vkchhPhRKSws5IorruCll15i5MiRp5/QiboOGKRUIq0pLyP3SGobM87cjKgQBgZaldgTx72/JzRb/EgZN1G5by5zH2M/dOgQAD8f/HOmd5vOxmB1FW9o+Soyc/Na3IoaUDRY2Y4KkJ+/hMsGXEx2iPpZ99quJKJvlRIrmb+AhqwsJRZqs3DfBb2U2PvbT3Iwp8L73mNjsY1QC+d05upidFIwXftHKLHtX2Z02vOFEEKIU9qbLO5q/Lt/4xbSloz0Gdue157Uwp9Te4y6N16PaHG2EEL8iLlcLm6++WZuuukmrrrqqu/89Y0mM92HqQnqse1nZyuqQdP4Qzf17OKyogp2lnuPwfef5LMVtaoczWEnNzeXsrIyNE3j4XEPU98rkTLd+zUUqlVz+FN3QSDfragaGjH752Js8G7tdTgqiNLKqO6mbmo5UjWS8D41mKze1VXdbqfw2WebfZ6bz0uie5R3JVTX4ZHP1VYawZeqPRcrPv+8U7eKjpierFxnHS4lL13aFAshRGtmzJiBpmncfvvtbY5bs2YNBoMBq9WKpmkEBQVRVVXV5hyAbdu2oWkafn5+FBWdO3U725Us6rp+EtgJWIBrfO9rmjYJSATygNPWYNd1PVnXda2lP7hbaQD8vjE2pJ2fRQghfjT++c9/UldXxyOPPPK9vYeeI9W2uMe2bjprZ98uiAhmeLBadfTx496zi7E9exOe0MVzraF7ei6eWl30M/rx5LTneTewu/KcEbkLKS0txRxlwxwfoNwzYCagUK2iWlS0ijFjB2A3NHiDNTbyQi8ialCFMrbi8y9oyMxUYmajgT/PUFtpbEovZsVBbx/J4IsuBLN3u2pDRgZ1B9Szkt9GXI8QEvqEKjFZXRRCiNa9/vrrhIWF8eabb7J06dIWx1RXVzN37lx0XeeZZ54hOTmZqqoqFi9efNrnz5s3D4CZM2cSGRnZmW/9e9XelUWAxxr/flzTtJ6ngpqmRQMvNl7+S9d1V5N7j2madljTtMcQQggBwObNm3nppZd49913MZlM39v76DZkOMYmCU1Zfi5FJ9vqkHTmNE3jjz5nF9eUVrKxtMpzv/+kqcp9c1kR6LonWQQI9w+nfORkKnV/b0yr5MCSZwCabUUFCCxQ2/8WFq1keu+LORmuJm8bjbMISa7FEtykjYjLRfFrzU9DnN8nmgm91P8YeHTpIRoc7q9AY2gogRMmKPcrlixp9pxvY8Qlycr1iX3FFGa2p2yAEEL89MTFxfHcc88BcMcdd1BWVtZszB//+EfS09O58MILueuuu7jtttsAeOutt9p8dn19Pe+++y4Ac+fO7dw3/j1rd7Ko6/pi4CUgFtinadoSTdM+Ao4C/YBPgOd9psXh7qMYhxBCCABiY2NZtmwZ8fHx3+v7sFhtzdpWHNt22s0hZ2xCeBDjQtU6aY8fz/WsZvabOAXN4P1aMtbXYqirITMzU9kCdEHKLN7x66k8JyV9HnU1VVgHNU8WA4oHoDm9SXFdXRZGRx4B/dReinkZIbgi+hHZT91uVPbJJ9hz1W2rmqbx5xn9aNJJg4ziGt7Z7E22fauiVixdiu7svCJCCX3CiO2uthPZ8VVGpz1fCCHONTfddBOzZs0iJyeHe+65R7m3Zs0aXnjhBUJCQnjjjTcAmDNnDpqmsW7dOtLT01t97ieffEJpaSnx8fFcdNFFZ/UzfNc6srKIrut3Azfh3pI6CbgIOAb8CrhK1/XOL6UnhBDnmOTkZAYOHPh9vw0Aeozw3Yp6ds4tnvKAz9nFLeXVrC5xr4YFhoXTbchw5f6pnoupqd6CNMNihvFVVxvVurclRyRlHPz8eUxh/liS1ATK4PLDVtJPiRUVruDC8WOpNXkTQ0ODmSNdfktw11rMAU0SSbud4jeb/1a5T2wQN4xSK9jO35SBy+VOfgPPPx+Dzbv11lFYSM22bc2ec6Y0TWO4z+pi2q5CSnLaaokshBA/bS+//DJRUVG8/fbbfPbZZ4C6/fS///0viYmJACQlJTFlyhR0XfdsM23JqZXH22677az3Sv6udShZBNB1faGu6+N0XQ/WdT1A1/Xhuq6/0HT7aZOxsxvPHc7uwPNPzflPR9+bEEKIjuk5YjSa5v0qKMhIo7wgv40Z386o0ECmhKu9JP/VZHWx2VbUimJwuZStqAbNwMSUi1loVs8Ndjn0Krq9rpWtqMOU68KilYxJHENujFoVdWN6IFpUTyJ8Vxc/+ABHCwUL7p/WG4vR+/M7UVzDhjT3OIPVStA0tXBPeSdvRU0aEEFklyartTrsWJbRqa8hhBDnkqioKF566SUA7rrrLkpKSnjggQdIT09n5syZnq2np5zaVrpgwYIWz/VnZ2ezYsUKwL0Sea75/g7LCCGE+N7ZQkKJ79OX7MMHPLG07ZsZNv3ys/aaD3SP4+sS79m6PZW1LCuq4OKoELoPH41/YBB1Ve77mtOJqaqM9PR06urq8Pd3n1Wc3m06d0Ut4uYcC1bNXagmSi8mdfkr9Jz4C8qWpEGT7/TAgmHk95sHmjtYWbkfe0MBScNDIds7ribNSP1tvyO04OcU7Q/CUev+DbFeX0/J/PlE//a3ymeJDPTjkoGxfLo7xxNbuCWTCb3cCWvwpZdS/ulnnnuVy1fg+stfMPj50Rk0TWPEJcl89ep+T+zo1nxGXdqNkChbGzOFED81T1536ekH/YD99v3PO+1ZV111FTfeeCMLFy5kxowZbNmyhYiICF599dVmY2fNmkVoaCgnTpzg66+/ZupU9ZeaCxYswOVyMWHCBHr16tVs/o9dh1cWhRDip8zlctG1a1c0TSM6Ohq73d7m+MOHD/Pzn/+cPn36YLPZsFqtdO3albFjx/Lb3/7W89vI75NvVdSjZ/HcIsDgIBszokKU2OPHc3HpOiazmb7jJyv3zOXFuFwujhw54omlhKcQGhPNe0Z1O2/Yzhcw2jT8eoQqcZM9CP/yHkqsqOhrLh93IRV+3hVDg8vI1oq+aBFJzfoulv5vIc4WCiLc6LMVdcXBfAoq3f0gA8aMwRge7rnnqqykau3aZs/4NroPiSIs1psY6jrs/OrsFCoSQohzxfPPP09cXBybN29G13VeeOEFYmNjm43z9/fnhhtuAGhxK+qp2LlW2OYUSRaFEKIDli9fzsmTJwEoLCxkSRvbCt9//30GDx7MK6+8QnV1NZMnT2bWrFmkpKRw5MgRnnrqKf70pz99V2+9Vb1GqY3rsw8dpKbi7Pbs+11yLE1qw3Couo7PCsqA5ltRjVXlaPYGZSuqpmlM7zad+RE69bp3k0y0M5+sNfOab0U1agTmD1FChUUrSApJojIpR4nv3pwJE35DaPdqjH7eo/iumhpK3n6n2WcZ1S2cntHeraAOl86i7Vnu92kyEXzJJcr4iiWd99txAM3Q/Ozi4c15VJbUderrCCHEuSQsLIwHH3wQgOHDh3Pddde1OvZUIvjRRx9RUeFtsbRhwwaOHDlCYGAg11zTrLvgOUGSRSGE6IA333wTgISEBOXaV15eHnPnzqWhoYGnnnqKEydOsHTpUv73v/+xfPlyCgoKWLNmDbNmzfrO3ntrQqJjiUrq5rnWdRdpO7ac1dfsG2jlypgwJfbv43k4XDrR3XoQ1TXZE9dwn108duyYspI7vdt0igOLWKSp5xH9Nj2NtW8oGJuko06doPzRyrjS0s04HJUMGdtNiWvZAZR3uQJDeCIRKWqxmJJ33sHp05xZ07Rmq4sLt2TibCx0E+xTFbVq9WqclZ3b4qLXiGiCo6yea5dTZ9eKzDZmCCGECAwMVP5uzYgRIxg0aBA1NTV88MEHnvipwjbXXXcdAQEBrU3/UZMzi0II0U4lJSV89tlnaJrGe++9x+TJk/nqq6/Iyclp1gbj888/p6amhjFjxnD//fc3e5bBYGDixIlMnDjxu3r7beo5cgyFJ457ro9t28zA8y88q6/5u+RYPi0oxdl4tjCttp5F+SXcEBdB/8kXsHqBt7+hqayYmvBY0tLSSElJAaBrcFcGRAzgrbJKrisxYtbcq4BR9mxK9y/Gv/dQ6g6VeJ5haYjCXB2DPcBdwEfX7RQXr+XS4dP4z+LFRFS5q99paKxau4dZ4+8jtPj3FB0KxNXg/t2qq7yc0nffJfKOO5TPctWwRB7/6jD1jX0Ws8tqWXu0kPP7RGMdMgRzYiL2LPdqo97QQOWKlYTOurLTfpYGo4HhFyXxzTuHPbGD63MYfnESASGdcz5SCPHj1pln/n6K5syZw/33389bb73Fz372MyVxPFe3oIKsLAohRLu988471NfXM3nyZMaPH8+FF16I0+lkwYIFzcYWFBQAEB0d/V2/zTPie27xxN5dNNTVntXX7G7z47rYcCX23IkCXLpO3wnnY2hSftzYUIehrlrZigowvft08kMy+YiRSty5+t/YBkYoMc1kILBgqBIrKlqFzWzD3EfdspmxowSG3oIxLIbw3upKYsm8+bhq1Z9NiM3MjEFqS+GFW9wre5qmNVtdrPi8c6uiAvQ5L5bAMG9i6LS72L8mu40ZQggh2uuWW27BYrGwceNGjhw5wocffkhlZSV9+vRh7Nix3/fbO2skWRRCiHY6td1k9uzZgLdE9ql4U127urclrlq1iv379ze7/0MTldSNkOgYz7XTbidj946z/rr3J8di1rzbRdNr61ldUoktOITuw9QE0FxWTGpqKs4mje0vTr4YgwavBYfg0L1faZF1GeBYj2b2xvQGF8G56hd6UdE3uFx2Jk8eigtvByi/0hBO5JTBuHsI71WNweS95ywupmzR4maf5abRScr1qkP55Ja7k8qQS9UqhNWbt2Bv/IVCZzGaDAy9UN0Oe3hzLrqreal3IYQQHRMREcHMmTMBd1GbU9/95/KqIkiyKIQQ7bJr1y52795NUFAQV199NQCXX345ERERHDlyhPXr1yvjL7/8cuLj46mqqmLo0KHMmDGDJ554glWrVlFefnaLx5wJTdPoOVItdHNs2+az/rpd/C3MjA5VYm9kuauT9p+k9ig0V5RQV1NDRkaGJxZli2JU3Cjywo/ymT5KGV+39l/4p6jnIq16N4wN3j6PDmcFZWXbOK/nCErCTypjV67cCsPnYAyLIKyXenax+M03cTU0KLFhXUNJifU+26XD+9vcz/Tr2RO/xu2z7psuKr/6yvfH8a2lnBeHqUmCXFVST/aR0k5/HSGE+Ck6lRi++uqrrF69GpPJxK233vo9v6uzS5JFIYRohzfeeAOAa6+9FpvN3abAYrFw4403As0L3QQFBbFy5UpGjBiBw+Fg6dKlPPDAA1xwwQWEh4czbtw43n///e/2Q5yG71bU9J3bcDrabg3SGW5PiFSuvy6p4HhNPd2GjsAWEuqJay4npsrS5ltRu01HMzh4JTAel+5dpQyvOopfuFrkRa9xEpw9XokVFq5A0zRihliVeOl+F7rJCmN/RXifajSjd3XRkZdH+SefKOM1TePG0erK3vvbTuJwuueFzFRXF8s7uSoqgMVqovtQtRLs4U15nf46QgjxU3TRRReRkJBAcXExuq5zySWXtNhu41wiyaIQQpxGfX097777LuDdenrKqetFixZR5VMls2/fvmzbto0NGzbw4IMPMnXqVMLCwnC5XGzcuJHrr7/es6X1hyC+T1+swd7+h/U11Zw8sO+sv+6wYBuDg7yJmg7Myy7CaDK12HPx8OHDuFzexG1q16mYDWayIg7yuUtdXbQf+gfG0CYFXnQIP6kW7inMXY6u68yYOgGHwbtaaK0NZuvufTDyZ5jCQgjtUaPMK37tdXSHQ4ldMTQBq9l71jK3vI7VqYUABE+froyt27ePhiarpJ0lZYx6djJtZwENtY5WRgshhGgvo9HIbbfd5rk+17eggiSLQghxWh9//DElJSX06tWLcePGKfeGDh3KkCFDqKqqUsppNzV27Fj++c9/snLlSoqKitiwYQMXXuhOWObPn8+iRYvO+mdoD4PBSM8RanuJ72IrqqZpzE1QV8PezSum2umk/2R1K6qxuoLq0hKyGiuLAoT4hTAhYQIGUw0vW3sq48Mq9hE8uEKJmerCsBb39VzXu/Koqk6lS0QCVfHqKtzGNQfALwjOu5uIlCoweM//2U+epGLpUmV8sL+ZywarlXH/t+UEAOa4OGwjRij3il56GV3v3DOFCX3ClEI3DruLYzs793ykEEKcC2bPno2u66xevbrdc/75z3+i6zq6rnPFFVectff2QyHJohBCnMapLabl5eWMHz++2Z/8/HxlXFsMBgNjx45l6dKlDBvm7g/4ic92xu9Ts3OL2zejN1nFO1sujw4lvMmKXIXDxYd5pUR1TSamuzcB1ABzeRGHDx9W5k/v7l61OxF5iC+dPpVRj/0Tc6LaQyv20G3QZMtq/okvAUgZpa7KOdNtlNeVw6g7MYcFEpqsri4WvfJqs5+P71bU1UcKySp1zwtuLI5wSvmnn1L8yqt0JoNBo8956rao1M2yFVUIIUTHSbIohBBtOHnyJKtWrQLc7TA2bNjQ7E9ubi4AGzZs4MiRI+16rtFoZMqUKQAUFhaenTd/BroOGIzZ37sltLq0hNxj7ftM34a/0cAt8erZxTeyi9B1vdnqormsmIMHDyorcpMSJ2Ez2TD4FfGSZZAyPrh4J6FDy5SYpSaWoDzvKmph7jIApk+chN1Y74lb7UEsWvcFWENh9F1E9KsCzfu6DWlpVK5YqTx7UGII/eODPdd6k0I3IZfNxNylizK+8JlnOv38Ysp5atKbc7SM8sKaVkYLIYQQLZNkUQgh2vDWW2/hcrmYOnWqZ9tJS3+uueYawLu62J6thZmZ7uIriYmJZ+8DdJDJYqHbUHWr5LHtZ38rKsCt8REYvYt9pFbXsbGsipRxkzCYTJ64wV5PZc5Jz4ougL/Jn6ldpwJwNPIIK51qP0XXgcewDlD7LkYdvQbNaQagxnCU2upsrP7+WLqpVU73bTuO3WmH8+7GEm4luKvaY7HoFXUrqaZpzdpovLftJHanC4PVSpdXXsYQHKzcz33wQWq2bWvz59MRoTE2YruHKLHDsroohBCigyRZFEKIVui6zvz58wF3M962nLq/YMECnE4nL774InPmzGHr1q3NxjocDl577TUWL3b36rvuuus6+Z1/O75VUY9t3dTp5+pakuBv4eJINcF5M7sIa2AQPUeo78lUVty8KmrjVlSj9QTPG9V+itacLYQMLKFpNmquiyDsxEWe69x9nwEwduxAZW5Mfk++PP4V2MJh5O1E9qvCXYbHrf7gIarXrlXmXDYkngCLd1ttYWU9qw65k1u/7t1JfP45NLPZc1+32zn5q19Tn57ewk/mzKSM8dmKuilPei4KIYToEEkWhRCiFd988w3p6enYbDZmzZrV5tiLL76YyMhIcnNz+fLLL7Hb7cybN4/Ro0cTFxfHJZdcwk033cQll1xCUlISd955Jy6Xiz/84Q9cdNFFbT77u9Z96AgMRu9KXmluNiXZJ9uY0Xnm+rTR+LKwnKy6BvpPnqrEzZUlHNyvVmodHTeacP9wNA0OR2Sw1qkmfa4djxM4Ri0+E3F8BsZ69ypfYaF7O2m/oV3RDd5ziCH1UXy09XN3wjzm1/hFmAlKrFOe41uoJtDPxOVDE5Qx/9vibeMRMGoUcY8+qr6/8nJO3nkXjqIiOkPPETEYm/RcrCypI+doWac8WwghxE+DJItCCNGKt956C4DLL7+coKCgNseazWauv/56wL0V9fbbb+fjjz/ml7/8JV26dGHfvn0sWrSItWvXEhgYyG233ca6det4/PHHz/rn6Cg/WwBdBw5WYke3bvpOXntsaCApAf6eaxewILuI5EHDsIWEeeKay0Vp2hGKi4s9MbPBzIVJ7iqzpqADPIeaYFoy1xLcpxCDrcmWVqeVyLQrAaiy7qM2twCL1URML7Ugjn48kK15WyEwCkbMIbJ/pXK/dvduaraoq8g3jlIL3aw7WkRmsffcYMjMS4m6715ljD0ri5N3/xJXrbrV9Uz4WU10H+LbczH3Wz9XCCHET4cki0II0Yq3334bXddZuHBhu8Y/99xz6LrORx99RFBQEFdccQXPP/88W7duJSsri4aGBqqrq0lNTWXevHmMHz/+9A/9nvTyrYr6HbTQAPd5v9sT1dXFd3KLaUBrvrpY3vpWVE1zsTc8j03Ofsp9ffMTBE1Vk7iQrElYKhPA4CR3l7vQTL8RahGabiWDmHdgnvti7D34RxoJjPdZXXz5ZeV6QEIIg7uEKrGFWzOV64i77iLk6quUWN3evWT//vfoTifflu9W1GO7Cmmok56LQggh2keSRSGEEM30GDEatCatJdKPUlH03VRtnRUTRojJe96vxO7k04Iy+k9Sk0VTTSV7t21Vtn8OjhpMfIB7q6k5dDvPumYoc4xpKwlMzMUU6a34qmEg+oh7Vbi44ht0u5Nug6PcfToaRVV3YXf6AdLK0iA4DobdQkQ/dXWxZvNmanbtUmI3+awuLt5xkgaHd4urpmnE/fWvBIxVz1hWrVxFwRNPtPwD6oDElHACQpv0XKx3krbzh1N9VwghxA+bJItCCCGaCQgNI75XihL7rlYXA4xGro8LV2JvZBcSHp9IdJOeiwBlxw6RlZXluTZoBi7pdgkAmqGBHSGlbHX1UV9g/ROEXNJNfc3igdiKBlIVtpuqPXnYgi3E+VQT7VYyiAUHF7gvxt2HLRps0fXKGN+eiZcOjiPIz7vttaiqgeUH1aqkmtlMwrP/xa93byVeMn8BJQve5ttoueeibEUVQgjRPpIsCiGEaFHPUepW1LTt3825RYA5CZFNF/bYW1nLjooaBk+9WBlnLi9my5YtSuzUVlQAc/gmnnVcrtzXji7DP/QEfj7JYHTqdbiMdRTu/xqAbj7n/ZJLBrIkbQlFtUUQ2gWG3NDs7GLV6tXUpXr7UtosJmYN8yl0s1ndigpgDAykyysvY4qOVuL5jz1GZWOfzzOV4pMsZh8po6Lo25+JFEIIce6TZFEIIUSLfFtonDy4n9rKiu/ktZOtfkyNUHsRvpldRJ+xEzCYvC0nDPYGDm/bTFVVlSfWO6w3PUPdK5AGcyVbAhvY4eqlvsDaJwiZ0V3ZaupXnUhIzgRK9Q005FbTfYh6djKuogfGegvvHn7XHRj/G2wxTvwj1L6Mxa+9plzf6NNzcVN6MemFVfgyx8W5ezDabN6grpP9299Ru29fs/HtFRYbQEw39WcpPReFEEK0hySLQgghWhQWG09kF2+io7tcpO/svMbxp3O7TxuNJQVllBst9PJJYk2lhezYsUOJTe/WZHUxch3POq5U7mupX2IxpGEbqq7kRR6bRXX4Aaq25BASZSMiIcBzz4CBpNIBvJ/6PrWOWgjvhjb4WiL7qolfxdKlNJz0thrpExvE8KQwZcy7W5uvLgL49+1LwjNPg9F7ZlOvq+Pkz39BQ5Ptth2VMiZOuU7dnCs9F4UQQpyWJItCCCFa5bsVdeeXn1FZ0jl9AE9nUngQPaze4ix2XeftnGL6T75AGWeqLGX7li04m1QPPXVuEcDoV8gGq4ndrh7qC6x5gpCLksHsXV40NYQQkjeG0iPbcdU7m21F7VYykPL6cj499qk7MOG3BCbUYwm2ewe5XBS//oYyz7eNxuIdWdTZW652GjhxIrF/+YsScxYXc/LOu3BWnNnKbq8R0RhN3q/8iqI6co6VndGzhBBC/HRIsiiEEKJVPUeoq3gFx9OY/9tfcmDNKqUK6dlg0DTm+LTRWJBTRNyAQQSEqj0Xa3NPkpqa6oklBiUyOMrbK9ISuZZnHLPUFzj8OcbaowRNVNtkhJ24iOrAg9TuKWzWpzCxLAWT08LbB9/G6XJCZC+0lOnNVhfLP/oIe0GB53rGoDhCrN7ts6U1dr7a3/pW0LDrriXijjuUWEN6OoXPP9/qnLb42czNttXKVlQhhBCnI8miEEKIVkV360FCitqrsL6mmq9efJpPnniYqpLis/r618WGE2D0flXlNzj4qriKfhOnKOPMZUVs3bpViTXdimq0ZbI9IJY9ru7qC6x5nKCJiWDzrvIZXBYs1bFUbc0lMjGQoAh/zz2TbqZLWV8yKzNZnbXaHRz7a4KTajHbvP0LdbudkvnzPdf+ZiNXDUtUXnrhlpa3op4Sdf99BE+frsTK3v9ASUI7oo/PVtRjOwqk56IQ4idjxowZ7l6+t9/e5rg1a9ZgMBgICgriwIED9OzZE03TeO6551qds2rVKgwGA4GBgRw/fryz3/r3SpJFIYQQrdI0jUvvfaBZwgiQvnMb835391ldZQwyGbkmVm2j8WZ2UbOei8aaSk4cTaWgSSJ1YfKFGDTv15wz5KtmZxc59BmGslQCL1QTucDiQdTmZ2PPrqL7YN+tqIMAmH+gMRnseh5al+GE+6wulr37Hs7ycs/1jaPVFcytGSUczVerqTalGQzEPfYopjhvkqfX11PyxputzmlLl77hBIRYPNeOeifpu6XnohDip+H1118nLCyMN998k6VLl7Y4prq6mrlz56LrOv/5z3/o378/b731Fpqm8cc//pG0tLRmcyorK7n99tvRdZ0nnniCbt26tfDkHy9JFoUQQrQpMDyC6/76Lybfegcmi59yr7767K8yzvUpdLO1vJqckEhiunsrnGq422hs2+YtwBNpjeS8OO82WmNgKjtsKex3JasvsPYJQkb1wB6iJk66plO5MYfuQ9XXTyrth8FlYFfBLvYW7gVNg7G/JrRbDUY/7wqlq6aG0oULPdc9o4MY1U1NfN/amNHmZzf4+RFxx8+UWOn77+Mo6vi50ZZ6Lh7eJD0XhRA/DXFxcZ7VwTvuuIOysrJmY/74xz+Snp7OhRdeyF133QXAhAkTuOeee6ipqfEkkk395je/4cSJE0yZMoVf/OIXZ/1zfNckWRRCCHFamsHA8BmXc+sTzxLfp/VVxoNrv+70VcbeAf5MDAtUYm9mF9F/srq6aC4vZs/u3dTV1XliTbeiahrUBX3RbHVRP/AJWlEqhgnV6vMaQqndVUBkiB/+gd7zhn5OG/EV7kTVs7qYMhNDZBLhfdRnlCx4G1ett6fhTaPVQjeLtp8kq7Smzc8fetVVSv9Fva6O4jffanNOa/qcp25FzU4to6JYei4KIX4abrrpJmbNmkVOTg733HOPcm/NmjW88MILhISE8MYbapGyRx99lJ49e7J27VqeffZZT3zZsmW8/vrrBAYG8uabb6JpGucaSRaFEEK0W1hcAtf97TEm3XI7JrNFuVdfXc2XLzzFp//5B1WlJZ36unMT1K2gH+eXEjNyLAajyRMzNNTjKC9lz549nti0pGlEW72JlilkNysMPTno8rYE0dBh7b+JHDqGqsjdyuvouk7l8gy6DVJXF09tRV2ZuZKsyiwwmuC8uwnrWY3B7PKMc5aWUrZosed6+sA4uoRbPdd2p85zq461+dndq4tqsZvSd9/FUdzxldzwuOY9F1Ol0I0Q4ifk5ZdfJioqirfffpvPPvsMULef/ve//yUxUT2aYLPZeOuttzAYDDz44IMcO3aM8vJyfvYz986P//znPyQlJTV7rXOBJItCCCHa5HQ62d1kxc5gMDLi0iu55Ylnieud0mx82vYtzP/t3Rxa902nrTJOiwymi783Oa1z6XxYaafH8FHKOHN5Edu2bfO8rs1s49mpzxLqFwqAprmwRKznv76ri/s/xFbjpGLQenTNW/RFQ6NmfxFdk4OU8cklA0DXcOku3jn0jjs49GaMwcGE9VRXF4vfegu9ocH9/owG7pnSS7m/eGcWJ4rVOb5Cr70GU5Q3YdZraymZN6/NOa1JaWEr6tmubCuEED8UUVFRvPTSSwDcddddlJSU8MADD5Cens7MmTO57bbbWpw3fvx47r33XmpqapgzZw733nsvWVlZTJs2zbNl9VyknQtfECNGjNC3b9/+fb8NIYQ4JxUVFTFjxgz279/PwIEDGTNmDGPHjmXMmDHEx8ex84tPWf/+2zjt9mZzJ91yOyMuvbKFp3bcC5kFPJKW47lO8DPzrrmSJf/5hyemG4xU9RrMrbNn0727t/JpWlkadyy/g8LaQnSXheqjf+BL0yOkGE56X2DgtRwd3J2q1flEHbtKee3aLif4OjURR4N31fCjAU9REHQCq8nKiqtXEOIXAiv/jmPlMxxbEoPu9G5Hinv0UUJnuX8ODqeLaU+v5XiRN0GcNSyBp64d0ubnL5k/n/zH/uW51mw2eq5aiSksrI1ZzdVV23nrgfW4HN7v/yt/O4z4XqEdeo4Q4ofn0KFD9O3bt8V7WX9c9x2/m86V+K8Jnfq8m266iYULF3LeeeexZcsWwsPD2b9/P7Gxsa3Oqa2tZciQIRw5cgSA4OBg9u/fT5cuXVqd82219b+pL03Tdui6PqIzX19WFoUQQrQpMjKSLVu2UFBQwOOPP05MTAzvvPMOQ4cOJSkpmSfefo/qXoMos9hwulzK3A3vv0NtVesVPzvihrhw/A3eBCy73s6xLj2xBod4YprLiamqrFkbjR6hPZh/yXwSAhPQDA2Yw7Y0P7u4fzExpr6UdPucmtBU5Z5fdjxRkYeU2KmtqLWOWhYdWeQOjroTk81IaHf1HGLxa6+hO93Fb0xGA/dOVVcXP9mVTVqhWk3VV+i112KM9G6H1WtqKJk3v40ZLfMPMDer8Hp4sxS6EUL8tDz//PPExcWxefNmdF3nhRdeaDNRBLBarcpZx4ceeuisJoo/BJIsCiGEaJeAgAAmTZrEH//4Rz799FMKCgp4/fXX0XWdJ//7HP94ZxFl0V0xmr3FYBwN9exd8WWnvH642cSsGHUV7emTxfQZN0mJmcuKSE1NbVbprktQF+ZfPJ/uId0xh2/kS30oR1wJnvua7iJo15fEJ1xL7sBXcZq8CZ/BZWaAI0750uxWMhAaF+cWHlqI3WmH4DgYdC3hfapA867cNRw/TuXKVZ7rmYPj6RntLdrj0uG/K4+2+fkNVisRc+cqsdJ33sHZQkW/00lpoeeivd7ZymghhDj3hIWF8eCDDwIwfPhwrrvuutPOKS8v51//8u7wWLRoEU7nuf3/nZIsCiGE6JDCwkKee+45Ro8ezZw5c3A6nei6ziuvvMKjL7zM2GtuUsbvXvY5TkfzLapnwreNxr6qWvb3GarEjNUV0FBPS8cTYgJimHfxPAbEJGEK3clzvn0X9y6ib9TtDJ3wOjWDdiu3bA0R9LV6VzZD62IIrY0BoLC2kKXHG/t2jfkVlkAnIUlqldHiV1/1nA00GjTuu0BdXVyyN4fUvLZXYcOuvw5juLf9hqu6muL5HV9d7NI3DFuw9wyovU56LgohfnoCAwOVv0/nvvvuIysri4suuoiUlBS2bt3Kk08+eTbf4vfOdPohQgghfup0Xefzzz/n9ddfZ82aNVx66aU88sgjZGZm8tBDD/Hxxx8zefJkAAZNvZhNH76Lo74egKrSElI3raffhPO/9fsYEGTj8uhQPi0o88SerLfw58QkKrNOAO6ei6aKEnbu3MmkSZMwN1npBAjzD+P1C1/n9oYH+GLrRdzriqenwX0WUtOdVH39MMHXzCfomoFkp66BaqNnbk8/EwV2B4WN5/26lQxil20FAK/v+S8zu1+KIaYf9JhKRPkayjNsnrl1Bw5QvXEjgePGATB9QBwpscc43Jgg6jr8d9URXrxpeKuf32CzEXH7XAr+/R9PrPTtd4iYPRtjSEir85o9x2igz+hYdq3I9MQOb8qlz+i2t2AJIX68OvvM30/N0qVLmTdvnqe1RmZmJuPHj+evf/0rl112GSkpzQu+nQtkZVEIIUSrXC4XH374IUOHDuUvf/kLV155JSdPnmTBggV88803PPHEE6xZs8aTKAL4BwYyYPI05Tk7vvik0ypu/rNXIuFmbwLXoOvs6DVYGWMuL6KmupqDBw+2+IwgSxDzL3uS6Jj8ZmcXrQc+If3412iaRvgV/ZvNHWYzYmlcYOxWMtATz6gqZMnev7svxv4avxAHgQm+q4uvef5tMGjcd0Fv5f7SfXkcyClv5ZO7hV1/PcYmRW1cVVWULHi7zTkt6TNGTQyzUkupLKlrZbQQQvx0lZWVceeddwLwzDPPkJCQwJgxY7jvvvuoq6tj7ty5uHzO7J8rJFkUQgjRjNPp5IMPPmDw4ME89thjPPzww+zcuZPZs2djMpm47rrr2LBhA5s2baJPnz7N5g+bfhk0aU5ccDyNrEP7O+W9RVpMPNpL7YG1oks/MHi/0oz1dRjqapoVumnKarLy8tVX8blrDGku7xk+I3Dgk7nsLdyLdUAkphibMs/foDHE5k5Wo6uTCKgP9dx7+8hnuFx26D4ZYgYQ2U8tWlOzZQu1TfpAXtQ/hgEJat/DZ053djEggPA5c5RYyYIFOCsq2pznKyI+kOikJi1BdDi4Pqf1CUII8RN17733kp2dzfTp05k9e7Yn/o9//INevXqxadMmnnnmme/t/Z1NkiwKIYRQbNmyheHDh/Pkk0/y+OOPs23bNi677DI0TSM/P5/Jkyfj5+fHypUriYyMbPEZYbHx9Bg+Wont+OLTTnuPl0eHMj3Su+2yxhbI8S7qGUBzeTHZ2dlkZ2e3+pwhXSIY0zOK5x1XKPGLy0t56Ivb2F+0n9CZPZrNizMbSGpcXkxusrqYWutk7dHX3Iny2F9jjbBji65X5hY1WV3UNI3fTFNXF1cczGdvVlmr7xkg7MYblW2nrspKSt55p805LfEtdLN/TTb2hnO7WIMQQnTE559/zoIFCwgNDeXVV19V7lmtVt544w00TePPf/4zR4+2/cu+HyNJFoUQQgBQWVnJPffcw+WXX84f/vAHNm/ezPTp09EaVwgdDgdjxoxh+vTpvP322/j5+bX5vOEzLleu03ZsoTSvc1auNE3jX70TCTV5t6Pu7a0WujFVlIDuYtu2bW0+6xeTevKZayzHXTGemBm4ubiAP2/4M8ZuAVi6BTebN8BqJNAAAyvUM4ZvHmjcEtp/FgTFE+Gzuli1ahX1Tf6D4vw+0QzpEqqMeWrFkTbfszEwgPA5s5VYyfwFOKvabr/hq895sfjZvOUL6qrtHN4obTSEEAKgtLSUu+66C/BuP/U1YcIEfvWrX1FbW3tObkeVZFEIIQSfffYZ/fv3p6qqigMHDnDjjTd6ksRTTCYTy5Yt469//Wuzey1J7DuA6G5NVuV0nZ1LP+u09xztZ+aRXt4v7rTkFGr9rJ5rg9OBqbKcffv2UV1d3epzxvWMoG9CGC84r1DiV1RWUVN8hHcOvUPIRcnN5pk0jeE2E2GlyfjZvVtVd1VWsTvrSzBZYPRdBMTU4x/eoMwteq3t1cXVqYXsOFHa5ucPu/lmDMHeJNZVXk5pB1cXLf4m+k9Q/+Nn96qTuFydc75UCCF+zO69915ycnKYPn06t912W6vjHnvsMbp378769et57rnnvsN3ePZJsiiEED9hFRUV3Hjjjfzud79j/vz5vPnmm0RERLQ6vlevXq3e86VpGsNnXKHE9q9eQV0HV7/acnVMGBdEuBMmp9HE4R4Dlfum8mKcTie7du1q833+fFIPPnaO54Qr2hM3A78oLeelPS9RGlWLX6/QZnNDTRp9/YyMqFZXNV/e/Yz7H8Nno/kFEtFX/cwVXyylISvLcz2hVyQjknx6SJ52dTGQ8NtuVWIlb83DWdV6YtySQecnYjB6k/+KwlqO75E2GkKIc9/s2bPRdZ3Vq1e3eH/BggXous4XX3zR5nMCAgJIS0tD13Xuvffes/BOvz+SLAohxE/Uzp07GT58OEFBQezZs4fzz//2rS189RkznsAwb19AR309e1d91WnP1zSNf/dJJNjk/jo74NNz0VRVjuaws23btja3Bl0yII6E8CCe911drKqmW3UZT2x7gpALk1uc29PPwEWVM5TYxuJs0kr2gTUUht1GUGIdluAmvSadTkrefFP5HL+5UF1dXH+siC3pxa2+Z4DwW27BEOQtUuMsL6d04cI25/gKCPWjt0/LjF3LMzuteq0QQogfL0kWhRDiJ+rf//43Dz/8MK+88gpWq/X0E86A0WRmyEWXKrFdXy3B6XB02mvE+Vn4W0/3Vsrc6ESKQ6M89zR0TBUllJeXt1l4wGjQuGNidz52jlcqoxqAB4tLWZmxnO2GffinuBNfV5NEStM0BlSE0Ef3JsU6Gi9t/4f74ryfoxmMRKSoq4tlH36Eo6jIcz22RyRjuquruk+uONJm0mYMDib8lluUWMlbb+FqY9ttS4Zc0EW5zj9eQV5a2y08hBBCnPskWRRCiJ+od999lxtuuOGsv86gaZdgalIMp6qkmCNbNnTqa9wQG8754UGgaezvM0S5Zy5zr8611UYD4JrhiYQG2vi7Q93aObi+gUurqnl066NYp8YDoIGSxFkNGg/k3wdN8rqVuQfJrcqB0K7Q/wpCkmox2bxJsl5fT/Frryuv5bu6uPV4CRvTTrO6eNutGAIDPdfO0lJK33uvzTm+IuID6dpfTVR3rcjs0DOEEEKceyRZFEIIcVZZA4PoP3GqEtvx+Sedus3RvR21C4FGAwd7DUHHewbPWF+Doa6GtLQ0ipqs5PnyNxuZPTaZta7BLHeqFU5/U1pGUdlx/le6CGv/CDRNo9Chvv+40kiuqPK2C3ECr+xoXF0c8ys0I0SkqCt+Jf/7H/Xpxz3XI5PDmdBLbUfy1OlWF0NCCLvlZiVW/MabuGpqWp3TkqEXdlWuj+8toiy/Y88QQghxbpFkUQghxFk3bLraRiM//SjZqQc79TUS/S38pUc8VYEhnEjsrtwzl7dvdfHm85LwMxl4xHEz9brZE490urirrJzX9r5G7TgraO7VxTKfhHFu7g1EN3i3oy45sZ6SuhJIGAZJ4wntXqOsLuJwUPD448ozfCuj7jhRypojbRecCb/1Vgw2b0VWZ0kJpe9/0OYcXwm9Q4nq6j3/iA67V8rqohBC/JRJsiiEED9QycnJaJp22j+rV69m/PjxaJrG3//+93Y9e8aMGe6iKr/5zVn+FG7h8Ql0HzZSie34/JNOf51b4iMYHxrIfp+ei8aKEtB1duzYQUVFRavzQ20Wpg+M46QewytOtWjNzeWVxNVW8njGU1gHRRFh0thb68DRZNXP7LTwh9xb0XT3ymaDrvPWnmfdN8f+GoNJJ2aI+vpVa9ZQtXat53po1zCmpEQrY063umgKCyPsZt/VxTdw1da2OseXpmkMmaaeXTy8KY+aioZWZgghhDjXSbIohBA/cBdddBG33XZbq39iY2OZO3cuAPPmzTvt9s7c3FyWLVsG4Jn3XRg+40rl+tj2zZTldW4DeE3TeDKlC1k9BlBv9p6TNDrsGKvKcTqdrG2SmLXkupHuhOlFx+Vk695zfGbggZJSVmd+Q2r/fAwGjUCjxsFatcpq/5reXFkyxXP9wdFPqWyohF4XQmRvgrrUYY2sV+bkP/YvdLu3Wqrv6uLerHJWHSpo832Hz5mN1nR1saiIskWL2pzjq+ewaALDvT83p8PFvjVZbcwQQghxLpNkUQghfuD++Mc/Mm/evFb/pKSkcO211xIYGEhGRkar/aJOefvtt3E6nYwcOZIBAwZ8Nx8C6NJ/IFFJ3bwBXWfnV591+uskWf14ICWJ1B7qZ6urd6+y7dy5k9LS1hvej+4WTrfIAOrw41H7Tcq9cbV1nF9Ty8NHH8NvcARxZgPHG1zk29WEcXbhZSTVuauq1jgdvHtwARgMMOaXaBrEDKugaTWchuPHKfnf/zzXAxJCuLBfjPLMp1YcweVqe3Ux/Ea1YFHxW/OUJPR0DEYDQ6aqZxf3r87G3uBs9zOEEN8vaXtz7vgh/G8pyaIQQpwDAgMDueaaawD36mJbTt3/LlcVwb3qN3zGFUps/zcrqauuannCtzA3IRJ92BglFlycR43BhMvlYs2aNW2+z1Ori1+4RrPJ2U+5/4eSUgorsvg8YQPRFg2LBrtrnDQ0SeTMupnf58zG7DIBsODgfGodtTDoeghOxBpuJ7S7Wjym6IUXcRR7K5/e77O6eDC3gmUH8tr83OFz5qA1qTzryM2l/DTNpH31HReHn83kua6rtnN4Y+euAAshzg6j0Yi9A78gEj9sdrsdo9H4vb4HSRaFEOIccSr5W7x4MZWVlS2O2bx5M4cOHcJqtX4nbTN8pYybSEBomOfaXlfLvq+Xd/rrGDSNv14wmfJgb7EZk8tJnsmdBO3Zs6fNyqizhiVgMmiAxt8ct+LQvV+XiQ4ns8sreD7jZQyDg+hqMVCnw55adfWtR30Xbipyn3sst9fy0ZEPwewPkx8AIGpQJQazd0XSVVlJ4X+f9Vz3jQtmxqA45Zn/Xp6Kw6muYjZliogg9KpZSqz49dfRXa3P8WXxN9F/QoIS273qZJurmkKIH4agoKA2z2WLH5eKigqCgoJOP/AskmRRCCHOEePHj6d3797U1NSwqJWzam+99RYAs2bNIiQk5Lt8ewAYTWaGXHSpEtv15RJczs7f5tgjwJ/I0ROUWLe0fdQajOi6zjfffNPq3Oggf6b2dReZSdW78rZzmnL/Z+UVhDXU8HzAOyT5u3/rm2PXyWpQk7Kri6fRr8ZdmfWNfa9gd9ph8I0Q3gOTv4vI/mpSX7ZoEXWHDnmu77+gFwZvFxDSC6v5YHvbZwjD586FJr+JbjiWRtXq1ldSWzLo/EQMRu8LVxTWcnxP2xVZhRDfv/DwcEpLSykqKqKhoeEHsY1RdIyu6zQ0NFBUVERpaSnh4eGnn3QWmU4/RAghxI/FnDlz+NOf/sRbb73VbJtpbW0t77//PvDdb0FtatAFF7Plo/dx2N1VNiuLCzmyZQMpYyd2+mvdPHMmb678DK3xP5iCq8qpqCzFGhDMgQMHmDBhArGxsS3OvX5UV5YdyAfgacdVXG7cSLjmTu6sus7vSsr4vWk5t/aZSeROjSKHzt5aJxEmDWtjhmfEwO9ybuOX3R6lsK6Mz9M/58peV8KU/4PFcwnvVU1ZWgANlY1fx7pO/j8fpevbC9A0jZ7RQVwzvAvvbz/peV9PrzzCFUPjsVla/gq3JCYSfPHFVDTZflr86qsEnj8ZTdNanOMrINSP3qNjle2nu5Zn0n1IVLufIYT47vn5+dG1a1dKSkrIyMjAeRZ+ESfOPqPRSFBQEF27dsWvydGC74N2LvzGYcSIEfr27du/77chhBCdKjk5mRMnTrQ5JiQkhLKyMs91bm4uXbp0wel0cvToUXr27Om5t3DhQm666SaSk5NJT0//Xv+jf8Vrz7N35Vee69ievbnxH0+26z3puk5NeRn+gUEYTaf/neezLzyLfa13q6sOVCf1RbcF0KdPn1a34zpdOuMf/5rc8joArjd+zb/Mrytj5sRGg20Ud+2+kx017v8oizJpjA1U39eXoet5Nm4hXQLjWXLlUoxo8OpEyNtHVY4fJ9dGKOMTnnma4IsvBiC3vJbJ/15NvcO7avm7C3vzqym9Wv3MdYcPc/wKtfps0jtvYxsxotU5vopzqnjvYbUv5azfDSOuZ2i7nyGEEOK7o2naDl3X2/9/9O0g21CFEOIHrq3WGTfeeKMyNi4ujosbkwzfQjentqDOmTPne18dGjb9cuU679gRco4cbnGs02En58hhti35iE/+/Q9evOMmXr7rFl64/QayDx887WvdcOtcyoO95yQ1wFRwElwuUlNTycpqeVun0aBxzQhv38EPnJM5ZuyhjPlTcSm7XHswJFRiafyRFjp00uvV3+ZfUjaeUZUDOFmVw4oTK9yVUaf8BYDA+HoC4uqU8flPPIGrzh2LC7Eyd3w35f7La9IprlLbbzTln5JCwER1C27Ra6+1Or4lEfGBdO2vJrG7VmR26BlCCCF+3GRlUQghfqBOrSx+8803TJ48ud3zPvroI6666iq6dOlCRkYGBoOBzMxMunVzJxzHjx+na9eup3nK2ffRv/7G8V3e/+/uPXocM3/zJ+prasg9coiswwfJTj1A3tEjni2rvoIio7j9v6+ddoXxT18sJ3LBs0qsPjKOhqgEevTowS233NLivKzSGiY88Q2nviqHaUf4yO9vyphHI8JINY3ihsN3k1bvXv0zAlPDLVibFIUpMZZzd/d/Eh0Zy4eXfYQG8ObFcHIz9RUm0r+MAt2bxEfe82ui7r4bgPJaO5P+/Q1lNd4qh3PGJfPXmf1b/cw127Zx4pZblVi3Tz/Bv0+fVuc0+/yppXz69C5vQIOb/nYeoTG21icJIYT4XsjKohBCiNOaOXMmUVFRnDx5klWrVgEwf/58XC4XU6dO/UEkigDDp1+hXB/duokFD9zDC3Ov58PH/sqWj98n6+D+VhNFgMqiQg6ta71QzSk3TRzP3pRhSsxSlIehroa0tDQyMjJanJcYZmNCryjP9U69N7vDLlbG/Kq0jOOW/VjDyj0xJ7C13O5exmwU7gzh13k3crT0GOuy14GmwVT36qJfsIPw3tXKc4tffQ17rvvMYIjVzK/O76ncf2fzCTKL1fYbTVlHjMA6eLD6zNffaHV8SxJ6hxLVtUklPh12r5TVRSGE+KmQZFEIIc4xZrOZm2++GfBuRZ0/fz7w/Ra28dV14GAiuyZ7rnXdRWFGOrre/jYPAFs++QCXq+0iDgOCbFRedBVVtkBPTEPHPzcDdJ2vv/661aqB14/solzfX3olusX7nGCXzq/Lyvkg4mMimlQQLXPqlESpK3DjKodwQfloXt37qvv1ksdBj6kARPavxOjn/Rx6XR0FTz7lub75vCQSQq2ea7tT58kVqa1+Zk3TiLjzDiVWsXQpDa1su23tGUOmqZ//8OY8aipaT+CFEEKcOyRZFEKIc9Dtt98OwMcff8ySJUtIS0sjLCyMK6+88jQzvzuapjHc5+xiawLDI+gzdiJT5v6cqx58GEOT1hBlebmkblp/2mfc0qMrK8fPVGLGuhrMJflkZmaSlpbW4rwL+sYQEWDxXB+vC2J/z58rY66qrKLYspnIQPUc4dbjlRjj1Up2v8i/ltyck2zPb9yCO/Uh93ux6EQNVFtpVHz+OTU7dwLgbzby2wt7K/c/3Z3D/uxyWhN4/vlYejQ5Z+l0UvLmW62Ob0nPYdEEhns/g9PuYt+a9iecQgghfrwkWRRCiHNQ//79GTlyJLW1tZ7E8cYbb/zeS3D7Shk/mdCYuGbxiMSuDLrgYi751W/52XNvcOeL87j03j8w9KJLSR48jH4Tpyjjt3z0/mkbz8+ICqEsZTBHuvVT4n6FOWgN9a2uLlpMBq4anqjEHi2ZBBHeaqQG4I8lxayK+txT6Aag3u6iok8UutHhidlcVn6Tcyuv7nnVHYgfCn0vAyC0ew1+od5ziQD5/3zU89kuH5JASqzaoPnxr1ouDASgGQxENP7vf0rZhx/iKC5udY4vg9HAkKnq1uX9q7OxN0hJfiGEONdJsiiEED9w//rXv5g9e3arf5YvX97ivFNbTgsLC5XrHxKT2czVf/4HI2bOYtTlV3PFHx7i7tcXMvvJF5l2x6/oN+F8QqJjmlVvHXX51Wia9yusOCuTY9s2t/laFoOBm+MiWDl+JnUWf09c013452aQk51NamrL2zqvHaFuxdyUUUnumL8qsSH1DZj8lhFvVcLs25CH3xQ1OLimN3EHbOwr3OcOnP9/oBnQDBAzTF0prDtwgPKPPwHcFVr/eEmKcn/d0SLWHS1s9XOHXDoDU5Neknp9PSXvvNPq+Jb0HReHxeotIlRXbVd6MAohhDg3SbIohBA/cMuWLWP+/Pmt/jl4sOX2ETfccANWqztJGTRoEMOGDWtx3PctJDqGSTfPZcKNs+kxfDTWoODTzgmLS6DPWLU1xOaP3m/13OEpt8RHUBcYxDdjL1HipppKTOXFfP3117haWKHsGR3IqORwJTavoCf0ma7Efl5eTE78HiWWX1CLoXdf6qKPK/HZhZfz1upXcekuiE6BQdcDEBDdQFCXWmVswdNP46yqAmBS7yjGdFdbWvzry8O4XC1/ds1iIWLObCVW+r+FOKuqWxzfEou/iQETE5TY7lUnW31NIYQQ5wZJFoUQ4gcqIyMDXddP++e+++5rcX5ISAg1NTXous6ePXtaHPNjdt6s65Trgow0ju9uu41SvL+FiyND2N9nGCcSuiv3/PNPUpid1WryfZ1PoZsPd2bRcME/0Q1mTyzB4aTK9DIRJnUldN9nGVgvDaDBVOWJWXQz41L78n7q++7A5Aeg8VkxQyrQjN5EzFlURNFLLwHus56+q4sHcipYsjen1c8devXVGENCPNeuigrKFi1qdXxLBp2fiKFJAZ+KwlqO7cjv0DOEEEL8uEiyKIQQ4kcpIrErvUaPVWKbP3zvtKuLcxIiQdNYNukK7CZvoqe5nPjln+Sbb77B6Wx+Hm/6wDiC/L1bMYuqGvg634o2Qt3ee2tFAbaEUiV27EAJEV0upnTAh0p8dNVAPtuwiLzqPAhLhuGzATAHOIlIqVLGlix4m4bGFh+Du4QyY5B61vPfy1Kpd7R8jtAQEEDYTTepz3vrLVwN7a9qGhDqR+/RsUps08dpOOTsohBCnLMkWRRCCPGjNfpKdXUx92gqJw/sbXPOuNBAetv8KQ8OZ/3IC5R75spSyo8fY+/e5s+wWoxcMUTdivnu1pMw8Xc4TN7CQREuF/W2f2NusrjY4NJJW55HyPDeVAYfU55xWd4k/rn5n+4kd+LvwOTeOhzRtwqTtUkiZrdT9OprnsvfX9gHk8H7Ilmltfxvc+s9EMNuuRnN33tW01FQQMWSJa2Ob8nwi5IwNHnNqpJ66bsohBDnMEkWhRBC/GjFdOtB92Ejldjmj95vc46macxOcJ/52zFwDLlRagLol5fJ6lUrcTgczeb6bkVde7SQbEcQztFqK42Lyw6REKWefTywLpvELjdT0fNLJT6ucgjpaYdZfmI5BMXC6LsAMJh0ogdXKGMrvvgCZ1kZAMmRAdw4Wq1S+tzXR6moU6upnmIKCyP0mmuUWPHrb5y2imxToTE2Bk5WK8Pu+OoEVaX1rcwQQgjxYybJohBCiB+10Vdeq1yfPLCX7MMtnzs85ZrYcAKMBnSDga8mX4nT4P06NDjt1B05wK5du5rNG5AQwoAEbwEeXYdF20/iN+G3VDdZXQzSdcIjFihzC6scVKSaCBsyiLqgE97Xw8C1RRfx2JbHKK8vh3H3gp/7fGFw11pMNm/SqtfXU9ZYGRXgnqm9CLB4e06W1th5dU16q587YvZtYPJupW04fpzKVataHd+SETOS8Q/wbt91NLjY/EnLPSqFEEL8uEmyKIQQ4kctvndfug4YrMQ2f9z26mKQycg1se7qpkURsWwZOlG5bykvYu2ST7Dbm6/SXT9SXc37YNtJnJZgsoeoq3bDyj4jKkA9P7l3yXGSk++mtOcKJT65YiSWCo2ndjwFtnAY92sANAOE9axRxpa+965nNTAy0I87JqqFel5fn05BRV2Ln9uckEDIDLWCa/Frr5/2nGdT/gFmRl/WTYmlbskj73h5KzOEEEL8WEmyKIQQ4kfPtzJqxu4d5KUdbXPOnIRIz783D5tMUViUct+VfpgtmzY1m3fZkHj8zd6vz5zyOtYdLaTr1H9QYPSu2vnpOt2jv1HmHs+uRi/1I3LkSOoDsj1xIwauKb6Qj45+xNbcrTD6F2Bzv7/Q7jVg8CZz9hOZVG/0vq+fTehOZKDFc11nd/H0ytY/e/jttyvXdXv3UrNla6vjW9JvfDzh8QFKbP0HRzuUdAohhPjhk2RRCCHEj15iv4HE9+mnxLacZnWxT4A/40IDAXAaTSybdCVNUx2DvZ5tny5ulgAF+5uZMTBeib2/7ST+1jA29hqvxAfWvoqlSaLXoMPBj47RNWku5b1XK2MvKDuPKHsYf9/0d+qMJnexG8Dk7yLYp+9i6cKFnn8H+pm4d2ov5f4H209yrECtpnqKf+/eBJ5/vhIrfv31Fse2xmA0MP5a9TXzj1dwZKu00hBCiHOJJItCCCF+9DRNY4zP6uKxbZspzMxoc17T1cWc2K7sHThGue/IzSTzxAnfadwwSi10s+JgPoWV9USNu58TTc4E+lFP74j9ytgjB0ugzkz0mAk02PI8cTMmri6eRmZlJq/sfQWGz4FgdzGZsF7VyjOqVq/Gnu1dmbx+VFeSI2yea6dL59/LDrf6uSPuuEO5rl6/nrpW+ku2pktKON0GRyqxTR+nYa+XVhpCCHGukGRRCCHEOSFp8DBiuqurXVs+/qDNORdHhhDn5y3W8s3IC3CavVs6DU4HG774rNm84Ulh9IjybsN0uHQ+2pnFqIRxzItWq6sOcL2mXBfZdXKXZxCfeC2VvTer76dsHGH2YN7a/xaplSdg8gMAWCPs+IU2OT/pclH6wSLPpdlo4PcXpSjPWnYgn52Zar/HU2zDhmIdPlyJdXR1EWDsVT0xGL2tNKrL6tm1vHlyLYQQ4sdJkkUhhBDnBE3Tmp1dTN20jpKcrFbnmAwat8RHeK7tFj/Sew9RxmTv3tas0I2mac0K3by/7SQmzYRx4DUcsngT0AjzSWJt2crYAxtywWEgZuIU7P5FnrhFN3NVyQU4dSd/3fhXnAOvg/hhaBqE9VRXF8sWL8bV0OC5nj4wlsGJIcqYhVta74EYccfPlOuKr5bR0MIqaltCo20MnqKusu5ankllScsFdoQQQvy4SLIohBDinNFj+CgiuyZ7A7rO1k8Wtznn5rgIzJp3dWxTH3XFTasoZe/2bc3mzRqWgLnJqlp6UTVbj5cwo8elPBcWqoztb1bfQ2a1g8qtucTEXUJ1ym7l3ozSCQQ7AjhQfID/HXkfrngRjBZCkmoxmL09EZ3FxVQuW+59n5rGfdN6K89aeSgfh7PlPoqBkybh16vJSqzLRdGLL7U4ti0jpidjDWrSSsPuYtPH0kpDCCHOBZIsCiGEOGdoBkOzvosH131NeUHrhVei/cxcGuVdkcuPiqcyPNr7TGD7V583mxcR6MeF/WKV2DtbMhkcNZhjkd3Y4eftu9jTfyMWg7dITYMOR5Zngq4RN2UaDkuZ556/7scVJVMAeH7382TbgmHSHzCYdUK6+bTRePdd5Xp8z0hCbd7ErazGztbjJS1+bk3TiLhTPbtY/tln1B9tu4qsL4vVxOjL1PYdR7flk5smrTSEEOLHTpJFIYQQ55Te540jLM57blB3udj66aI2ZqiFbtA0tvUdqdyvSEulsqKi2bzrRqpbMJfuyyWnrI5Luk/nv+HeBNSkNZDiv0oZm15ST82uAiKix1PXTy1Gc1npZAKcVmodtTyy6RH0sfdC7KBmPRdrd+6k7rB3rtloYGpKjDLmqwN5tCZ4+nQsPXt4A7pOwX//2+r41vQdF09EYqASW//BEXSXtNIQQogfM0kWhRBCnFMMBmOz1cUDq1dSWVzUygwYGRJA/0B/7/heg3EZvF+RBns967/6otm88T0j6RXtTZKcLp031h9nerfp7PL3Z43V+8x+1hXK3CKHTtaHR7HnVRM37WIcZm8yGuCyMrN0EgAbcjbwReZyuOJF/ELBFl2vPKf03feU64sHqKudyw7k4WoladOMRqLvu0+JVa1cRe2ePS2Ob43BoDHBp5VGwYlKUre0nqgKIYT44ZNkUQghxDknZdwkgqO8K2xOh4PtSz5qdbymacxJiPJc1/nbSO+m9m1MXb+62TyDQeOOCeoWzPe3nSTGvxs9QnrwbJOzixHmTGLNh5SxGdUOihYcJMiagr2/WlzmypIp+LvcW1mf2PoEpaGJMOG3zdpolH/6Mc7KSs/1hF6R2CxGz3V+RT17sspa/eyBU6fiP3iQEit46ulm/SVPJ6F3GD2GRimxTZ+k0VDn6NBzhBBC/HBIsiiEEOKcYzSZGHX51Ups76plVJe13EoC4MqYUIJN3q/FnSkjlPuOghxOpDUv3HL50Hiig7znE2sanPxvSyaXdLuEI34WlgZ4+x/2t6mriycaXNQX11K88DBx0y7CafImgsHOQGaUTgCgtL6Uf2/7N0z4HUFDu2OyensZ6nUNlC/yri76m42c38d75hLa3oqqaRrR99+vxGq2bKF648ZW57Rm7FU9MTb5GdaUN7DzK2mlIYQQP1aSLAohhDgn9Z98AYHh3rYYjoZ6tn32YavjA4xGboj1jj+R2J2qQO+5Q03X2dDC6qSfycjscclKbN7GDC7ocjEAz4eFcKrxRk//Dfhr3u2mdh2yGnTqj5Xh2KThHKAW4rmq+AIsLnfBmiXpS9hcuBNt1ouE9qxVxpW+9bKyEniR71bU/XltrhQGnHceAWPHKLHCp5/p8OpicKSVwReo5zh3rzxJRVFtKzOEEEL8kEmyKIQQ4pxkMpsZedlVSmzXV0sozmq99+DshEg8zTA0A3tS1DYaOXt24HQ6m827aXQSAU22fhZW1rM9TWNg5EBOms18HOQ+12jSGuhnW67MTa93ous6VeuzCU0cjsvo7VEY5gzm4rJxnutX9rwC8UMJve4m0LyJXENhDTUfv+y5Pr9PFBaj9ys+o7iG1HzvVtWWRPmsLtbt30/l8hWtjG7d8IuTsAVbPNdOh4uNH0krDSGE+DGSZFEIIcQ5a+CUCwmM8FY6dTmdrHzjxVZXzLrZ/JgZHeq53tdnGE1HajVV7Fy/ttm8EKuZ60Z2VWKvrk3n4uTpALwcGkxdYy/HAbav0PAmnJUud7EbgJqvynD2UgvxXF08DbPLBMD2/O0cKD6A+fK/EdTDrIwrfe1ZqHcnhEH+Zsb1jFDuL9vfevsQAOvAgQRdeKESK/zvf9EdHTtzaPE3cd4VPZRY2s4Cco62vgVYCCHED5Mki0IIIc5ZZj9/zr9N7SWYdXA/h1ooVnPK/UnewjiVQaFkJPZU7u9c1rwqKsDc8ckYDZ51SdIKqwm0j8KgGSg0mVgY7F5dDDIW091/szI3vd7l/odDx5QTi8vQ4LkX5Qhjavloz/X8A/PB7E/Yz3+vPKMyQ8e++A+ea9+qqG2dW/S81r33QJMqsA3p6ZR/+ulp5/lKOS+WqK5BSmzdB0dbrcoqhBDih0mSRSGEEOe0XqPGkjxE3U665u03qKuuanF830Arl0R6zyru89mKWplxjMry5g3nE8NsXDooTom9t6WYkbHuno1vhART0ZhMDrKpCWeeQ6fa6U6ktAoT9rAC5f61xRdh0N1f2cszlpNblYttxi1YYpskZLpG2UdLIH0NABf0jaFJ7sqh3ApOFKuVVH359ehByBVXKLHC51/AVV/f8oRWaAaN8T6tNIpOVrFzmRS7EUKIHxNJFoUQQpzTNE1jypy7MJq92zZrystY/97brc65L9m7unisW19q/aze5zkdrP205TYcvm00th4vYUDgpQBUGI3MCwkGIM58iEiTeo7veIPL829zcQy65t3+GWePZHKFuzqrU3fyv0P/Q9M0wuberTyjLM2G/vGvoKGaiEA/RnULV+4va8/q4q9+idbkZ+XIzaXsvffamNGy+J6h9ByhVmXd+lk6WamyHVUIIX4sJFkUQghxzguLjWfU5dcosT0rlpKXdrTF8YODbEwJd6/aOY0mDvYaotw/uqn5uUWAAQkhzc4KHkiLw2xwJ1//Cw6iWtPQtOari5kOHUfjWUoDZhqs6tnF64ouxqC7lwo/PPohVQ1VhMy6Gs3f27bDUWek8kABrHoYgIv6+2xF3X/6ZNEcH0/YjTcosaKXX8FZ1faqZEvGXdUL/wBv4qnrsPyNA1SXd2ylUgghxPdDkkUhhBA/CaMuv5rQ2CbbRHWdla+/iMvVvLopwG+SvYnWvr7qVlRHSSHHUw+1OO/OiWpxl1UHixgW5i4cU2MwsCQwAIBe1vVYDd7trHanTrbF5Lm21ESjNymE07UhlskV7i2tVfYqPjz6IcbAwGbbRkuPBcCWV+DEpmbJ4s7MMgoq6jidiLvuwmDz9od0lpZSMn/eaef5CgzzY9rcftBkO2xtRQPLXz+Ay+lqfaIQQogfBEkWhRBC/CSYLBamzv2FEstPP8relctaHD8iJIAJYe6iNIURseRGJXjuacCGTxa3OG9ir0hSmpwldOlgL53ouX4v+FQbDTv9reprZ+iAxdD4GgYcfurZyJ/nXUuUPQyA/x36Hw6Xg7AbblTG1BT4UV9uhE9/SbxNZ3BiiHJ/2cG2q6ICmMLDCZ89W4mVvPkWjtKObyHt2j+CEdOTlVjO0TK2fJbe4WcJIYT4bkmyKIQQ4icjefAwep83Xomtf3c+1WUtJ0H3JzVZXfQpdJO/fzcOh73ZHE3Tmp1d3HJEwx/39tQ0i4VtjVtH+9uWYcB7NrGsqI66sQmelThzfTi65l1dDHLZ+H3ObAy6Rm51LitOrMC/T2+sI9T3VnrMBiVpsPoxLvKpirqsHVtRAcLnzsEYGuq5dlVXU/zKq+2a62vkjG4kpoQpsZ3LMjm+t6iVGUIIIX4IJFkUQgjxkzL5tp9h9vcWrKmvqWbtO2+2OHZMaACjQ9zbRg/1HITd1KS3YUM921Yub3HezMHxxAb7e67r7C5indd6rt8Pcq8uBhpL6OG/SZl7OK2c4AuTPdc6aruJgTW9uKbYva11/oH56LpO2A3qGcPy4zacdg02vcBl0WpCtim9mLKaBk7HGBhIxF13KbHShQux5+aedq4vg0Fj2tz+BIRYlPiqeQepKKrt8POEEEJ8NyRZFEII8ZMSFB7J2GvUrZsH133DyYP7mo3VNI37GyujNvj5c6R7f+X+npVftfgaFpOBueOTlVjGyWR0l/tM4qoAG0VG9799C92c2FeMs1841kGRABh0Ey6DWhDm5sJL6V2bxIHiA+zI30HwtGkYIyM9910OAxUnrKA7SVz3B/pEeZNjp0tn5SG1NUdrwm68AVOsd2VSb2ig6MUX2zXXly3YwoV3DEBr0s+jvsbBV6/ux2mX84tCCPFDJMmiEEKIn5yhF88ksmuyElv1xks4W9hWOiksiKFB7mIve322olZlZVBW1PJWyhtGdSXIz1uwprJWx1zt3gLr0DQWNz4zxpxKtEmtyrp/TTZhV/fGHOde1TS4/HBp3vdmwsgD2XOwOv2Yf2A+msVC6DVXK88oPRqArgO5e3gw/BvlXntaaAAY/PyI/KVPe46PPqY+/Xi75vuK7xnKmCvVAkCFmZWsX9RyVVohhBDfL0kWhRBC/OQYTSYuuF1NgoqzMtnxxafNxjZdXcyKS6Y02NsaQ9N11n70QYuvEeRv5obRXZWYs3QyemP7i8VBgTjA3UYjQF1dPLQxF4dLJ+KWfp5vaoNuVsbE26P5ef61rMlazfHy44Rdey0YvF/r9eVmagvd2z4nZL1KF81b2GbtkUKq6x20R+iVV2JJTm7yIZwUPvtsu+a2ZMgFXeg2OFKJ7V+bzZGt7UtghRBCfHckWRRCCPGTlJDSjwHnT1Nimz58l4rC5ls0p0UEMyDQCprGvpRhyr30LevRdb3ZHIA545IxNdl2WVHtj6OyHwD5JhOrbe7toT39N2A1eIvs2OucHN6UiyncH2tfb3Kqo27XvLB8DOMrhvHazscxx8UROOV85X7h/iB0HQzOOp6yzoPG84/1DhdrjhS2+J59aSYTUffdq8Qqv/qK2gMH2jW/2fM0jam39SU40l+Jf/O/VEpyO97LUQghxNkjyaIQQoifrAk3zsY/0NvmwlFfzzfzm1f81DSN+5Lcq4v7+wzFpXkTQGdVBcf27Gzx+XEhVi4bEq/EYuw3EGRxv+b7we6/jZqDAT5tNLatTEN36QSc5+0NqWFQqqMC3JN7I9vTD5JTup/wm29R7tUU+FGV4668OtK1h1mGdZ57X7WzKipA0IUX4t+vnxIrfPqZds/35Wczc/GdAzGavP8Z4qh38tUr+2ioa9+KpxBCiLNPkkUhhBA/WbbgECbceJsSO7ZtM2k7tjYbOz0qhD4B/lQHBJPetbdyb+OnH7X6GndOVNtonCgw8fjIRfx2+G85HtaF42b3ucb+tuUY8J5LrCt2ce+C/2Or/z6MEd5VOE03omvelcxAl437s2bz0sZf4j9yCAHj1dYgBbuD0RsXJB8yv0ME7t6NXx8uoN6hJp6t0QwGou6/X4lVr19P9caN7ZrfkqiuQUy4rpcSK82rYc3C1FZXaoUQQny3JFkUQgjxkzbw/AuJ69VHiX391ivY6+uUmKHJ6qJvz8Wi1AM01LXcAiIlNpiJvaOU2Nsbc5k9YDZLr/6KikHXABBgLKWnv5p8WQ/H88uvf8niQHXV0WBVzy8OrO1FcOpIDqT+jejf/145u9hQaaYszV1MJ0yr4iHz2wBU1TvYmFbc4ntuScD4cdhGjlRieX9/GFd9fSszTq/f+Hj6jFb7QB7Zms+BdTln/EwhhBCdR5JFIYQQP2mawcAFP/slmub9SqwozGfrJ4uajb0sOpTuVj/Su/ah2hrgveF0sHnpklZf4y6f1cUVh/JJL6zCYrQw+ILH0E3us4u+bTS6lvUjpDaa9yyf09CkGqpe40CLU8/8XVtwKRt37aQ0+AAhs65U7hXuD3L3XQSuMG5ksmE3AMs6sBVV0zSif/87d0WeRg0nTlD8yivtfkZLz5x0Yx/C4wOU+LoPjlBwouKMnyuEEKJzSLIohBDiJy86uTtDL75UiW399ENKcrKUmFHTuCcpGpfRyIHeQ5V7+79Z0erzx/aIoH98sOda1+H19Y3tJ6xhaI2rizGWo8SYU5W5A/ImUGGqZl2Qei7SEmSlzuJNII0YGZl6J4f2P4Ltjulo1ia9FeuNFB8M9Fz/w/wmNupYfjAfp6v9Wz6tgwYRev11SqzotdepP3as3c/wZfYzcvGdAzD7GT0xl0Nn2Wv75fyiEEJ8zyRZFEIIIYCx195MQFi459rldLBp8bvNxl0VE04Xf0uzrai1BbkUnsxs8dmapjU7u7h4RxZFVY1bOEfc7okPsn2ujOtTMAqLw5+lYeuUeP2xUvwv8ime0xCN3/5rOJjzEKE/u0m5V3IkEHu1OyFL1Ir4nekDSqob2JZR0uJ7bk30/fdjjGrS+sJuJ/evf0N3uVqfdBphsQGcf3OKEqsoqmP/2uwzfqYQQohvT5JFIYQQAvCz2Zh8y+1KLH3nNpwOuxIzG9yriyVhUWTHqH0U1374XqvPnz4wjoRQ72pfg8PFgo0Z7ov4IZDoPg/Yw38zNoM3gbO4/OlTOJqD1nSO+zVJnlwQXGtlb9fjyusk5Y/HdDyKgnFHlaROd2oU7vNWfp1tXMYQ7RjLDnSsv6ExOJjY//s/JVa7Ywdlixd36Dm+eo2MYcCkBCW275ssXM4zT0KFEEJ8O5IsCiGEEI16jxmPLSTUc91QW0PWweb9BK+NDSfez8zevurq4vEtGyjObzn5MhsNzB3fTYkt2HyCmobGrZYjfwY0ttGwfaWMG1YwFQ2NpaHq6mL11jySLh/GCYtaECbqwBxKs3dg/L1aGbU8w0Ztibs4jkHTecz8Giv3ZXW4+mjQRRcROGmSEiv4z5M4ioo69Bxfo2d2x2j2/qdJVWk9abva1w9SCCFE55NkUQghhGhkMBjpPkyt+Jm2Y0uzcX4GA3d3jSa1x0Bq/G2euOZy8v5zT+F0ttyS4vqRXQj2N3muy2rsLN7ReC6y3xVgdW+D7W9V22hYa0LoWtaPr0O2Uqd5q486KxroXhbHkkFbsDcpgGN22ojbdxd5EZuw9OmpvIeC3cGcyg37Gk4ys3ox+7LL2/ipNKdpGrF/eUg5F+mqqCD/sX916Dm+/APN9DlPrY66Z9XJb/VMIYQQZ06SRSGEEKKJHsNHK9dpO7a0uPJ2U1wEoQE2tg8ap8Rr0lNZuXxZs/EAAX4mbj4vSYm9vu64u8iM2R+G3QKAzVhOL//1yrgLKq6lxljHNyHblHjVllwuHn0Zb0Z/osRtZX2wHumL9psx6vsr8KMqx89zfa/pY7Zsa95X8nTMCQlE3XOPEqv44guq1q1rZUb7DJ7SRbnOP15BXnrHklkhhBCdQ5JFIYQQoomkgUMwmS2e64rCAooyM5qNsxoN3N0lml0DRlNn8bax0JxOti/9jMOHD7f4/Nljk7EYvV+/mSU1fHWqhcXwOYC7NcWgALXQjTknlG6ulGZbUeuPljLWOpI9ScfZHqBumY04diX5zo3YxqsJY/7eMPTGo4B+mp2R+/8OZ1CgJvyWm/Hr11eJ5f39YVy1LfecbNcz4wLo2j9cicnqohBCfD8kWRRCCCGaMPv703XgYCWWtr35VlSAWxMiiA4OYudANRkzl+Tz8YeLKSlpXmk0OtifK4aqVUxfXZvmXr0M7wa9prnHmdOJNR9Sxl1TdxfHrCdJ9c/wBnWo3VbAzf1v4an4t6ky1HhuGZ1WgveNg7uHgsH7lW8vN1CW5t0+O8S5n4K1r7b4GduimUzE/f1h9dlZWRS98EKHn9XU4Knq6mLarkIqS+q+1TOFEEJ0nCSLQgghhI8eI5pvRW1JgNHIi32T2DVwDA1NViONDjvO/Bw++OAD7HZ7s3l3TFDbaOzJKmfL8cbEsrHQDTRvo1F1wMj54dOatdGo3JbLzKRLIcDI21HqnJDc8RRmbyX4qsuUeO6BcJx2zTtu3SNQ2bHKqADWgQMIu1lt01H81jzqUlNbmXF6XfqGExYX4LnWXTp7v8lqY4YQQoizQZJFIYQQwkf3YaOU67y0o1SVttyPcFRoIL9I6cau/mqCaSgrJC83h6VLlzab0ysmiCkp0UrstbXp7n/0vABC3S05evhvJtjoTeBcDp1La25lc9h+ZQWRGid6ahXXpVzH52Fr1RYbQOjei3De0EMpSKPVucg7GOK59nNWwZonWvyMpxN1z72YYpsUpnE6yf3LX9BbKfRzOpqmMXhKohI7uD6HhjrHGT1PCCHEmZFkUQghhPARGBZObI9eSix9Z+tFYO5PisUxbhp2o7fSqV99LQ211ezatYudO3c2m3PnRHV1cdXhAo7mV4LBCCPmAmDQXAyxfaaMO7GpnNv738nKEHW1M2dNKjem3IjNYuOlmA+Ue/6VSZTuSiXs9tuUeGlqIPZq738K6DsXQHnHV/CMgQHE/uUhJVa3Zy+l77Xed/J0+oyOxT/Q7LluqHVweFPHVz6FEEKcOUkWhRBCiBY0q4rayrlFAJNB4+mR/TncX227YS7Ow6FpLF26lNzcXOXe6G7hDE4MUWKvrWtcXRx6KxjdFUtTbKuwGrzVQBvqnAwsnMjBJLXoi38OmEtgdv/Z7As4yjfBatXU0ENTsE8JxxgV6YkZXS4y9npXODWXHX3tk61+zrYETZlC0LQLlFjhU09jz88/o+eZLEYGTExQYnu/Ponu6lhPSCGEEGdOkkUhhBCiBb7nFjP37cFe13qRlSSrH5dcdR1Og9ETC64qJ9NixeFw8MEHH1DbpEqopmncObGH8oxPduVQUFEHARHQ/0oAzFpDs7OL+7/O4Y6Jv2Sf7agS3/7lN9zS7xYi/CN4Pfojagze92t0BFK5ppCIe+5W5jhOGKgt8a7guXYugLLMVj9nW2L+/GcMAd6zhq7qavL/8c8zehbAgEkJGIzec5XlhbVk7Cs64+cJIYToGEkWhRBCiBZEdk0mOMq76uawN3Bi3+4251yX0pPqIecpscSMQ5wIi6a0tJRPPvkEV5MWFRf1j6FLuPccYYPTxbyNGe6LJoVuBti+wqR5E82aigYsaVGU9FOL58SmBZBbls3dQ+6mxFzOwkj1vGTgieHUdjPh10vdYpu5K4JTrSSNuoO8Lx5t83O2xhwTQ9T99yuxyhUrqPz66zN6XkCIH71GxigxaaMhhBDfHUkWhRBCiBZomtZ8K2orVVGbuvOWW3Fp3q/XiLJCTvpZqTH7kZqaysaNGz33TEYDPxuvnl18Z/MJquodkDgCYgcB4G+oor91hTJu1/JMZlx8HRWmKk8s0GXjiyUfcHnPy0kKTuLT8G84afGe89MwUL/STsTvfqM8y1VooCrHz/uej35ATsaZVTMNu+F6/AcPUmJ5j/wDV3X1GT1v8BS1jUb2kTIKT1ae0bOEEEJ0jCSLQgghRCt8k8X0ndvQT9O8PiE+gbjR45TY8L0b+KbPUHRg1apVHD9+3HPvmhGJhNq820Ar6hy8v+0kaJqyujgk4DMMeKuBlhfWUpTaQMMAb5IH0D+zK5+nfc6vh/4ah+bk5ZhFyn2/si5UNpQTME59j9m7w9EbP5oZJ7sXPkRNQ8erj2pGI3F//zsYvdtxHbm5FD77bIefBRDVNYj4XqFKbK+sLgohxHdCkkUhhBCiFYn9+mOxepvX15SXkXvsyGnnXXLNje5kr1F0cR7mqjL2JXRH13UWL15MZaV7dcxmMXHreUnK/DfXH8fudMGg6yAoHoBAYzG9rWuUcbuWn6DfBeq21z51yXy07j2GRQ9jQMQAdgYeYn3QLmWMc52F8HvuUd6jXqmRuzXUkzBOq1/JYwuXo+sdLyjjn5JC+Gy18mrJ2+9Qs3NXKzPaNniqurp4ZHs+1eX1Z/QsIYQQ7SfJohBCCNEKo8lM8pDhSqw9W1EjErvQa9RYJTZmx2o2d+tHcUAw1dXVLFq0CGdjH8JbxiRjMXm/krPLalm6LxfM/jDp95740IBPlGcWnKgkv6gOuluV+OTCYTy540nuG34fAK/FfEid1uD9XA2BlB3IImTWlcq88gwbOVvcCaNZc9Lv2Ku8tCbttJ+3JVG//CXmhCbVTF0usn/3W5xlZR1+VvKgSIKjvJ/R5dDZvya7jRlCCCE6gySLQgghRBt6Dh+lXLfVQqOp82Zdp1zHF2TRJTeDlX1H4DAYyMzMZPPmzQBEBflx1TC1Cf2ra9Pdq3pDb4GwZADCTVl081Nff9eyE0SM66bEzi8fyTdHV9HgbGBc/DgKzCW8H/mVMkbfG0DIjXdgilELyFScsJGz2Z0wXm1cy7vL1vHN4YJ2feamDDYbsX/7mxJz5OSS8+D/dXi10mDQGDxF/fnsX5uNo8HZ4fclhBCi/SRZFEIIIdqQPHQEmsH7dVmclUlZXm4bM9yik7vT3SfRPG/HakoDgtnUfQAAW7du9VRHvWNCt6a7QjmQU8HGtGIwmmHynzzxYQEfK888eaiUSpsZQ7DFE/PX/ZhSPoo/b/gzs/vPBuDD8JXkmgs9YzQMlK48Rtf58zDFxirPrMi0kb0pDJPu5JfGT7jnvV2kF1bRUYETxhM+e7YSq/r6a0oXLOjws1LGxGGxmjzXdVV2jmw7sx6OQggh2keSRSGEEKIN1sAgElP6K7G0HVvbNfe8K9XVxa65GSTkZnAgoTsZEbGUl5dz7NgxALpHBTKtr7rK98radPc/Bl4DUSkAxFpSiTMfUMbtWplJ4Cg14ZteNoGS2hLe2P8G07tNx25wNCt2Q64f9hIzSW8vwBQfp9yqPGkle2MYV2lrCa3P5o4F26mss1NevouTWQuorj7Wrp9B9G/ux3+QWh01/z9PUrtvX7vmn2LxN9FvnPoe96w6eUZnKoUQQrSPJItCCCHEafQY0fEWGgBxvfqQNGioEhuz012kZnXvoVRb/NixY4fn3p0T1TYaa48Ucii3AgxGOP9BT3xY4Efq+9lZgKN7iPKt3q0+gf61Pdicu5kYWwwmg4mtQfvZEqgmaWWfH8UUFUfSgrfVM4ZAZZaVvI0h/Fr7GJu+lS++uZztO67myJG/s3Xb5VRVnb69hmaxkPDUkxiCgrxBu53s+3+Ds6LitPObGnh+orL6WpJTTdah0g49QwghRPtJsiiEEEKchm8LjaxD+6mrat+2TN/VxW4njxJTkE2dxY+tyf04chQti48AAKdiSURBVOQI5eXlAIxIDmdY11Bl/GvrGlcX+14GcYMBSLLsJMKU4Rmj67B3cz7+fSOUubcWzgQd3j74NlO7TgXglZjF2DW7d1CNkfJVx7EkJpC0YD7mLt7Ko7qmUxhrIW7AAe4b9gpRft7k0OWqI+PEy+36GVgSE4n75z+UmD0ri9yH/tKhlcHgCCvdh0Yrsd3SRkMIIc4aSRaFEEKI0wiNjSMisavnWne5OL5nRxszvBL7DSDBZxvrmJ2rATga04Vyi5WdO3d67t05sYcy9rPdOeSW17rbXEx5CHD/07cy6uGNuRgHRSmxQTW9GVs5GIfuYE/BHmwmG7mWQhaHr1TGVW/IxV5QgznBnTCakhOpHuuk4K92Sm930hCr0ZKCgi+pbyhq188h+MILCbvpJiVWuWwZpe++2675pwy5QG2jkXmgmNK86g49QwghRPtIsiiEEEK0g2+xmvZWRYXmlVF7ZRwisjgPl8HA7q692Llzp6eNxrR+MXSLDPCMdbh03tqQ4b7oeQF0cfdV7Om/nkCDt0qp0+HicHo5fr3DlNf6WcEszC4TeTV5xAe6eza+H/kV+aZi7yCXRulnR3E4qsm1f0neg5WU3+zEqS7iNaPrdnJzPmj3zyH6gT/g36+fEit47F/UHTzY7mfEdg8hpluwEtvzdVa75wshhGg/SRaFEEKIdvDdipqxewdOh72V0aqkQUOJ7dFLiZ23y3128XBsV3Lr7Rw9ehQAo0Hj9vFqK4yFWzKpqLO7lxSnulcXjZqToQGfKuP2r83BNrWL8u0eZ4/i8tLzAThWdowAcwD1BjuvxXyozG04VsHuj3/F0WP/pMFRSDMu8N+pUb0lXAlnZS9E19vXwsJgsZDw9FMYArzJsG63k3X//Tir2r86OHiKurqYuimXuqr2/W8hhBCi/SRZFEIIIdohrldvrMEhnuv6mmqyDh1oY4aXpmmMnnW9Eks5tp+wskJcBiO7u/Ri+/btnntXD08kIsDbCqOq3sF7WzPdF8njobs7+etrXYW/5i0S01Dr4EhqOQGj1aqhNxRdTKjDXWCm3lEPwIag3ewMOKSMCzt8Ieg+W06dYNtoIPphM+Gvm+nxQSV6g3dMfX0uRUVft+vnAGBJSiL24b8rMfuJTPL++td2n1/sPiyKwDA/z7XD7uLA+ux2vwchhBDtI8miEEII0Q4Gg5Huw0YqsfZWRQXoMWwkUV2TPdcaOqN3rQPgUHwyezJPUlrqruzpbzZy65hkZf6b6zNocLh7Mp46u2g21DMw4Atl3J5VmQRM7oLm7+1JaHNZ3cVuAIfuwGwwgwavxCzCicszzq86kaC8UY2f15/EhFsZfSCYmCU6pgJ3gmio1QjYpiaUWdn/a/fPASBkxgxCr71WiVV88QVlixe3a77RaGDg5EQltu+bLJwOVyszhBBCnAlJFoUQQoh2atZCY/vWdq+GaQYDo65UE6R+R/cQWFWO02BkT2IvpdDNLWOS8Dd7v6bzKur425ID2J0uSBwOfWYAMMj2JSatzjOuuryBY/uLCb7AW5AH4KKysXSvcydYdpd7y2amXx7fhGxTxkWmXUVyl7sZN3Ytffr8lcCp/0fX84vxC/Fu87StVf/zoaRkHTU1x9v1czgl5sE/4de7txLL/8c/qUs90q75/cbHY7J430d1eQP718jqohBCdCZJFoUQQoh2Sh44FKPZ7LmuKMyn6OSJds/vfd44QmO9W0SNLifD920C4GB8Mhv27fcUugkPsHDNcPVs3sItmdz0+haKquphyv8BGv6GSvpZVyjjdi3PJGB0LKYoqydmwMBd+VeDT267MHIpTrxnDi010cSW34TF0tiGo/+VmBJ70XVKMX6h7oTRctKAOd13dXFhu38OAAZ/fxKeeRrN6n2Pen092fffj6um5rTz/QPM9B0br8S2Lkmnury+Q+9DCCFE6yRZFEIIIdrJ7O9P0sAhSix9x9Z2zzcYjIy4dJYSG3xwG371tTiMJjaFxZGa6u1l+PPJPQhusp0UYOvxEmY+t5699gQYcBUAQwI+w4DDM6Ysv4aM/SWEzOiuzD3VSqOpXEshy0M3KbGKlZnop7Z0Goww+QFMfi6Szi/CHOh+nQCf1cWcnMU4nbXt/VEA4Ne9O7F//YsSa0hPJ+/hR9o1f/glSVj8jd65dU42fZzWofcghBCidZIsCiGEEB3gWxW1Iy00APpNmoItJNRz7WevZ8gBd8K5P74ba3fu8txLCLWy8I7zSAi1Ks/ILa/j6pc3sSxqLmhGgoxF9PJfp4zZsewEfr1DW2ilcRVml5qAvhv5JXbNu83UWVZP9fa8Jm/6CohKweinkzC2FAw61p0GDJXeIU5nBfn5n3fkRwFA6BVXEHLllUqs/JNPKPv4k9PODQjxY9RMNSFO3ZxHzrGyDr8PIYQQzXU4WdQ07UZN09ZpmlauaVqVpmnbNU37paZp7X6WpmlmTdOmapr2pKZpmzVNy9U0rUHTtGxN0xZrmja5o+9LCCGE+C74FrnJPZZKdVlpu+ebLX4Mu+QyJTZ83yaMDjt2k5klDiPFxd4eiAMSQvjsV+MY0z1CmdPgcHHXl2XsDJ8OwNCAT5T7BRkV5BwtJ3RGN59WGpGeVhqnFJpL+TJ0gxKr+Pokur1xe6rBCJMeAMAabidmcAWaQ8O2Uf3qT02f1+4znE3FPvRnLD16KLG8hx+mISPjtHMHTk4gPD5Aia199wgupxS7EUKIb6tDyaKmaS8A/wNGAOuAFUBv4HlgsaZpxjamNzUJWAn8BkgCdgAfAyXAVcA3mqY93JH3JoQQQnwXAsMjiOmu9kxM68BWVIDB06Zj9veuFgbUVtH/yG4A9iX0YN2Oncr4iEA/3r59FHPHqf0XAX6VPQ07ZiLMmST7qcVqtnyajina1qyVxs3Fl3paaZzyXsRX1GsNnmtXRQNVW3xXF/sCENa7msD4OmzrjTQppoqr4TClZd6V0fYy2GwkPP0Ump+3HYZeW0vO//0Z3dV20mcwGph0g1oopzi7in1S7EYIIb61jqwGXgXcDeQBg3Rdv1TX9SuBXsAh4ErgV+18nAv4EJio63pc47Ou03V9IHA94AQe0jTt/DafIoQQQnwPeowYpVx3pIUGgH9gIIMuuFiJjdq9Hs3losFkZkF+GQ6HQ7lvMhr4y8x+PHXtYPxM3q/vHCJ5xzEFgGEBHypz8tLLydhbRPAFSUorDT+nmTtKrlbGlpor+DxsrRKrXH0SV/2p1UUDnP8gAJoGcaNL8a9x4XdALXSzYetz7f0xKPx79ybm/x5UYrU7dlD6zunbcsT3CqP3qBgltvWzdGoqGlqZIYQQoj06srL4p8a/H9B1/eipoK7r+cAvGi//2J7tqLquf63r+tW6rq9r4d77wLzGy5s78P6EEEKI74TvucXMvbux19e1Mrplw6dfjsHoTeDCKorpdfwgADtikthx4GCL82YNS+TDX4xVzjG+6LicWt1CnCW12eri5k/T0aymZq00zi8e6WmlccqiiOXUNmnD4aqyU7Upxzug70zodREApsbzi76FbqysI6sw63Qfv0Wh11xDwMQJSqzg6adpyMw87dyxV/XE7FPsZuNHx87ofQghhHBrV7KoaVoiMBxoABb53td1fQ2QDcQC53XC+zq1hyWxzVFCCCHE9yAqqRtBkVGea4e9gRP79nToGUERkfQdP1mJjdq9DnSderOFl46dbHXuqXOM53UPB6CQUOY53UnceYHv0HRvaElONamb8wgcE6e00tCAv1b9SmmlUW6q4pPwb5TXqlyThauucZVT0+DSp8Di3sJqi2og0VCNsdA7XjPrbH3nnnb+FFSaphH38MMYAgM9Mb22ltw/P3Ta7agBIX6MulTdpivFboQQ4ttp78ri0Ma/D+i63lpd7G0+Y7+NU4dBcjvhWUIIIUSn0jSt2epiege3ogKMvExtoxFXmE2XHHdz+9WBkZzIz291rvsc42jmjEsG4GXHTCp0KxHmTPr4r1HGbl2SjtOlN2ulEV0YzPXMVGIfRaykyuDtc6jXOqha3+T8X0giTPu75zKybxVhu9SiNuEJe9jy0bJW33tbzLGxRD/wByVWs3UrZe+/f9q5A89PlGI3QgjRidqbLJ76VV1bnYdP7RFpfvq+AzRNiwVmN15+2MZQIYQQ4nvTY4RPC40dW0+7+uUrIrEr3Yer5x9H73af0Kiz+PHM3tSWpnmYjQb+OrM/T107mFpTMK87ZgAwKuhdDHhbYVSV1rN/TTb+fcKatdK4Ne9SggzelbwqYy0fha9SxlSuy8ZZ7X0ew+dA0jgANAP0NpXR5OVwRoL9wz9SW1DU9g+gFaFXX03A2LFKLP/f/6Ehq+2iNcZWit3sXyvFboQQ4ky0N1k89S1S3caYqsa/g9oY0yZN00zAO0AIsErX9SVtjL2zsW3H9sLCwtaGCSGEEGdFl34DsFi92zprysvISzvaxoyWjbpMLTTT7eRRoovcG2s+c1morK8/7TNmDUvkw5+P5fOAWRx2dSHYWMhA25fKmO1fZtBQ52zWSkMrc/Jv20PK2E/Dv6HcWOW51uudVK1rcg7RYICZz4LRXb3UanISmWVXnsHoSnb84r4OJ9DQuB31H49gsNm876Gmhry/PHTa1hzxvcLoNVItdrPls+NS7EYIIc5Ae5PFU6XOOt48qWNeBqYCJzlNcRtd11/VdX2ErusjoqKi2hoqhBBCdDqjyUzy4OFK7NCG1R1+TkJKP+L79FNiIxtXF6st/jyz+1C7njMwMYQP7rmAewwPkqeHMTxwMWbNu520vtrBrmUnMMcENGulkbw3lBnR3uqsNcY6FkUsV8ZUbsjBWdUk4YrsCef/yXPZrVT9fXJ9P52QvO0cf/HVdr1/X+b4eKL/8HslVr1xE2WLmpVOaGacb7GbWgebpNiNEEJ0WHuTxcrGvwPbGHPqXmUbY1qladp/gdtxt+aYqut63mmmCCGEEN8r362ou5d9cWari5dfpVynpO0nuKIUgHcqGqhv5+pcZKAf08YMY27D73FqdoYGfKLc37PyBNXl9c1aaej1Tu6rvI1Ia6Qn9nnYGkqM5d7JdheVq32qnI75NcQNBiC4ykFQRZPVRQNUT3RS8+Lz1O7e3a737yv02muxjVZ/xgWPP4E9J6eVGW4Boc2L3RzenEeuFLsRQogOaW+ymNH4d1IbY7r4jG03TdOeBO4BCnEnih3/phVCCCG+Y71GjiEwLNxzrbtcfPXi0zjs9jZmNdd96EgiEr2tLQy6i5F7NwBQbrLw+pG2SgaobhuTzDFDd35pv5cB1i+wGko99xwO2PbhXowB5matNBy7Svmv7REMunszUb3BzvuRapGayk3ZOMubbIs1muCy50Fzr+Il5qrtQ2rGuDAYHRy7536cFRXt/gynaAYDcf/8B1qT7aiu6mpy//LX025HbanYzZr3pNiNEEJ0RHuTxVOtLPprmmZtZcxIn7HtomnaE8BvgGJgmq7rLTeWEkIIIX5gzP7+TLvz10qsOCuTTYsXdug5msHAiJlqZdSBh3dgrXVv7Xwpuxi7q30nQaKD/blyaAJrXIP5m+smRgao2zYPbi2j7ERus1Ya6BC+XuetwseIb3Af7/gydD2FJm+yqTmhdNVx9QXjBsG4ewGIKazHZPcmY3og1A5zYSrII+v//nzaBK8llsREon/zGyVWvX495R993OY8o9HAxOt9it1kVbF/bdurkkIIIbzalSzqun4S2AlYgGt872uaNgl3T8Q8YFN7X1zTtH8BvwdKcSeKHWtSJYQQQnzPug8bSf9JFyixbZ9+SO6xtiuZ+uo7fhKBEd5toGaHnaH7NwNQZDDxQXb7i7ndMdG9BfN95/mstlgJNnpPdugY2fLyR2iuBkJn9vBWJWgUXRzMS+kPcUXxFByag3cjlyr3q7fl4yhRVxCZ9ABE9MTogvg89V71RHfyWLNiBWXvvdfuz9BU2I03YBsxQonl/+tf2NtoLQKQ0LulYjfpUuxGCCHaqb0riwCPNf79uKZpPU8FNU2LBl5svPyXruuuJvce0zTtsKZpj+FD07RHgAeAMtyJYodWJIUQQogfism3/YzA8AjPta67+OrFZ3A0tD8pMZrMDJ9+uRIbtn8zZrv7GU+mZ+No5+piz+ggpqZEu+c5r8Jg267cP1bal4L5f8K/Zwjh1/dBa1IMBsCim7ir4Gr+feI3rA/aRa7Zm6gadQMZS3erL2j2d29HBRJ8tqLau+k0dHX/p0HeY49Td+RIuz5DU57tqP7+npirspK8dmxHHXdVT8x+PsVuPpZiN0II0R7tThZ1XV8MvATEAvs0TVuiadpHwFGgH/AJ8LzPtDigT+PfHpqmXQb8ufHyGPBrTdPmtfDnj2fyoYQQQojvkn9AIBf6bEf9f/buOzqOIlvg8K+7J49yTpbknLPBNsYJMLYxJpicc85hA2FhYUkLS9glZ1hggUdYssE4gXHOOcuyJVk5Tg7d/f4YIak9M7YMLBio7xyd0dyuqumW33k7l6q61VBRxqL33jqocQYdPRmrs32fnT3gY+CWlQDs1STerWro9FiXjevW+pvEPfI47Cbj8svF67rA7LtxDM4i56bh2HqnRo3R39eD50vuiqqMat4QwFPdZGxcNBoOuwyHXyO9wZgke1tnFwkG2HvLLWj+fWYmO8FSVETWTTcaYu5vvqHlk0/228+ZYuXw6fsUu1lcReXO5jg9BEEQhO8dzMwiuq5fDZxDZEnqeGAykWTvWuAUXdfVTg6V1uH3EcAFcX6mRHcVBEEQhENP16EjGDDxWENsxaf/Ze+2LZ0ew2J3MOTYaYbYiLXfIauR/3n9y/ZySn0HPncRYGTXNAYVJAMQlMy8b3UYrpcHh1A2bz4sexEl2Ur6hf1JPa1X1CxjqprEmJahlFnal7IqyKz9YH70hx5zNyQVkL93n0I3IzQ0R2QGMLB9B9UPPdSpZ9hX6rnnYh861BCreuBBQjU1++0Xs9jN21tRQ6LYjSAIwv4cVLIIoOv6f3RdH6PrepKu605d14fruv50x+WnHdpeqOu6pOv6hfvEX2uNH+hnwg9/NEEQBEH4eU04/xLDvkNd1/jy2ScIBTuX4AEMnTIdxWxue5/sbqb3zvUAeDWdqzbu7lSxG0mSuLxtdhE2maxUm41J3GLXeehf/Am2zkSSJJzDsyOzjH3SDO2Ge/ux3mEsVF6wJ5Wty/fZQWJNhOlPkNEQxObv8N+PLeAd1f41oemdd2mZZZyt7AxJUci9/34kq7UtpjU3U3XPvftdjqooMuPOiC528/Wrm9A6ubRXEATh9+igk0VBEARBEGKzOpxMvuJ6Q6xxbzkL332z02M4U1LpP/5oQ+zwtd9BazK02uXlkV2VnRprSv8cClJbK55KMMtqvF4b7sEO30h4/2KoiCx3VZKtpF/QL2qWcXzzCPZY2j9XRsb2QQvuFfvcS89JSIPOiNq72DIBdKk9Mau88y8HPC8xFmu3rmReb/wbu+fMoeXzL+L0iMjvHV3sZueqGr77v+0/qEqrIAjC74FIFgVBEAThJ1Q8eBgDj55siK38/CMqtm7u9Bgjps9Aktr/JzqrvoquZe0ze0/uqeG7RtcBxzEpMpcc2b5fr8qkU2IzLgRa6j4HNRiA/5wBzRUAMWcZnbodn2xMABVkmt7fQcvcPcaEa/KD5DU7kTrO2mWoeIa2l17VWlqo+OMf0cPhAz7HvtIuvADb4EGGWNU99+CaPXu//cad2YuUbONy3PXzy1n5ZefPsRQEQfg9EcmiIAiCIPzExp97CYkZme0BXeerZx8nFOhcYZfUnDx6jjzCEBu16pv24YBrN+2hIXTgROv0EV1Itrcva51rDhqOy2hW89jsOwY8tfD5LW0zmNA+y+icUYxH8dHb35WZyd+hYUw4W2btpunjnejfJ4fOdCzHPkx2rXH5bdPZKpqzfXzfipXUPff8AZ9hX5KikHf//UgdlutqLhfl115H5V/+gubxxOxnc5qZfv1gnMkWQ3zpxyVsWijOXxQEQdiXSBYFQRAE4SdmdTiYfMUNhlhj5V6+e+eNTo9x2AmnGN4XVO0mr7J9BqwqGOKWLWUHXELptJo4d1Rh+30oOjsSjG2Wu08npFlh20zYbKwuKkkSqYd3IXhpFssSNjDc049H8l4jKIUM7TxLKql/azN6qHWvYv8ZFCkjDLOLskNlz3k2Q7+6Z57Bu3z5fp8hFmuPHmTecH1UvOm99yk5eQa+NWti9ktKtzP9+iFY7CZDfP5bW9m1ru6g70MQBOG3TCSLgiAIgvA/UDRoCIMnTTXEVs38hPLNGzrVP6d7TwoHGJdanvz129j83rb3M+ua+ffe+gOOdcHoYixK+//kz5J8SKb26UWvlsZa7/TImy/+CP7oYyUGdh1C9fFQY26gOJDH7YX/wiV7DW38G+upfWkDmjcEkkTClGcp3muchbQMclE3vMPMnqZR8Yc/ojY1HfA59pV2ySVk3nIzmIyJX2jPHkrPOZfaJ5+Kucw1PT+BaVcPRDG1/010TeerFzeIIzUEQRA6EMmiIAiCIPyPjDvnIpIys9oDus5Xz/6TUCfPGTz8xNMN7x1eNzO+fAtJa0/A7t5RwVbP/sfLSrJx8tD8tvceGXamGr8CrPachE9LBHcVzPlbzHEuH3Q524bVcnLD0TQpLm4tfpRaU6OhTXB3CzXPrSXc5IekPIqH/J0EtzFh853tNyxHDVdVUfmXvxx0oRlJksi47DKK33kHS1fjWYqoKnVPP03pOecQ3B29JzGvZyrHXtIfqcOSXDWk8fnTa2nYG3sZqyAIwu+NSBYFQRAE4X/EYncw+UrjctSm6koWvPN6p/oXDRoSVSwnv2o3E5Z82fber+lcubEUv7r/MwMvHWtMpj4LuFE6VDsN6k5WuFuT0+UvQVn00lBFVrju+D9Qk+/mqurT2WOt5ObiR9hlrTC0C9f4qHlmLcFKD/LA0+kXMi5HVexhtl2cZOjj+no2Te++u99niMc+oD9dP/yA1LPPirrmX7uOkpNn0Pjee1HJaLehmYw7q7chFvCG+fTJNbgbO5fQC4Ig/JaJZFEQBEEQ/ocKBwxmyORphtjqmZ9Stml9p/ofddGV5PbqY4iNWLeI3jva+2/2+LmvZP8FWnpmJ3JUn/ZZzoAMe7KMyzfXe6fSGM4HdPj0BlBD7EuSJEacNYmhvr4c2TKUOnMTfyh6LOocRq0lSO1za/GXNJM45QWKq41fOZL61rNzdKohVv3gQ/i3bdvvc8Qj2+3k3HUXXZ5/DiUjw3BN93qp+stdlF97HeGGBsO1AePyOex4YyLtbgzwyb/W4vdEP78gCMLviUgWBUEQBOF/bOzZF5KcZTzj76tnnyDo9x2wr8ls5oSbb8eZmmaIHzfvAzLr2s84fKm8jq/r9r/f7vJx3Qzv321uwp7Svn9QR2Gh68LIm5qNsPip2PeUbidpdD6XV5+KTbPiUXzc0eVJFiSuMrTTAyp1r2zAu0OjeMQ/o5ajWk6rx53U4fMDAfbecgua78B/l3gSxo+n2ycfk3D00VHX3HPmUHLCibi//dYQP2xaMf3H5hlijZUevnhmHeGg+oPvRRAE4ddOJIuCIAiC8D9msdmZfNWNhlhzTTWzX3y6U/v0ElLTOOHm21E6FHIxqWFmfPmmoeDNDVv2UB2IPxs2smsagwqS296rEpQXWg1tdgdGsCcwJPJm/t+hYVfMsRKPKiTLlMHZtZEiPiE5zEP5L/Nx6jxjQ1Wn4e0teOqG0E+eYFyOaguz81JjadbA9h1U//3vcZ+hM0xpaRQ89SQ5f7sXyW433k5dHWWXX0HNo4+2/e0lSWLcWb3pNjTT0LZyZzNfvbQR7QBLfAVBEH6rRLIoCIIgCD+DLv0GMnTKdENs83fzWfXFJ3F6GOX16sNRF19liCW5mznh63eQtMjsV0NI5YbNe9DiJKCSJEXNLr5ZUUdGV+P+we9cF6HpMoR98PnNhrMXv6c4zSRNLOSkhqPoEojMmmqSznPZ7/FK5n+j2jd/WoK524MU15oN8cweVayYWGSINb3zLi2zZsV8hs6SJInU006j238/xDZoUNT1+hdfouWzz9vey7LEpIv7kdczxdCudF0d3/xn60EX3xEEQfgtEMmiIAiCIPxMxp51AWn5XQyxb958mT0b1nWq/6CjJzN40nGGWFFFCeOXtidW8xtdPF9WG3eMKf1zKEhtn20LqhoVxcbZxcZwIZt8kyJvds6F9e/HHCvhiDxsKU6uqjqjPSjBexlf80jea4QxLuFsnl1F0cgXopaj5pxQQnmGcZlt5Z1/IVRdE/c5OstSXEzxW2+Scc01IBu/9lQ/8ADhxvZqriazwnFXDSQ932lot2lhJcs+jT3DKgiC8FsmkkVBEARB+JmYbTZOvPUOLHZHW0zXND574iFaajuXGE288DKyuvU0xA5bu5C+29e2vX+gpJJ1Lu++XQEwKTKXHGks6PLvrZX0ONy4p3Kp62wCWut9fvln8BoLwwBIZpnkycUM9fZhXPNww7W5ycu4p8uzhlhor4eAux99rcchdZipk60q1RcrhKT26qxaSws1j/4j5jMcLMlsJvO6ayl68w0kc/vMptrYSPWDDxraWh1mpl83hMQ0myG+4otSNi+qRBAE4fdEJIuCIAiC8DNKyyvguOtupeMBfz5XCx//435CgQMf16CYzMz4010oHRJOgCnz/0tWbaQiakjXuWrjbjzh2MVZTh/RhWR7e9LU5A2xt9CKydL+tcCvJ7HCfVrkjbcOvr4r5lj2wZmY8xO4rOYU7KpxhnJFwia+TVxpiLXM2k3i+McoqjPef25xBXOO62ds+8mneFetjvm5P4Rj2DAyrrk66jPcCxYYYs4UK9OvH4zNaVwyO/+tLezdbjxXUhAE4bdMJIuCIAiC8DPrPvxwjjjtbEOspnQnX7/wVKf2xjlTUply3a3oHRJOkxrmpK/ewu6LHCi/0xfg4dKq2P2tJs4dVWiIvbJqD0OPNe4dXOedRlM4N/Jm9RtQujBqLEmWSD6uKxnhFM6pmxZ1/d+Zn6J2WI4arvPhXddM1yNfJcFjTGYHHrOGXdlZhlj1/fejaz9dgZn0Sy7B2tt4tmLl3Xejuj2GWGqOk2nXDkIxt39V0lSdL55bT1NN7FlbQRCE3xqRLAqCIAjCL2DUyWfQ47BRhtjBFLzpM/xwskeOM8SS3c1M//odZDWShL1UXstmd+xjKC4YXYxFaf8aUNbgoyLbREJq++yghplFrgvaO316A4QDUWPZuqdg65PGiQ0TKQzkGq5VWGuYlbLYEGuZsxspazh9E08zLEeVrCru8437Gf0bN9L84Ycxn+GHkMxmcu+7z7B/Mby3ktonnohqm9M1maMv6GuIBTxhPn96nTiDURCE3wWRLAqCIAjCL0CSZaZec/OPKngz/aLLCKUZ9xoW7d3F+CVfAqDq8Odt5TFnK7OSbJw8NN8Qe3zeDg470VgtdVdgJOWBgZE39dvhu8dj3kvy1GJMksI1HYvdtPpPxhcEpfbkSm0O4l6yl6SxD1LUmGxom961ivXjjGce1jz+BKrLFfNzfwj7wAGkXXCBIdb41lt4V0cvee05IpuRJxj3eDZVe/nqxQ2o4kgNQRB+40SyKAiCIAi/EIvd8aMK3qSkpDBw2kmEHcazCkesX0z/rZHEZ2mzh/+rir3P7orx3VDk9qWsexq8LAr5yI53lAbAgkehdlvUWOZsJ87Dchjk7cWE5sMM1+rMTXya+o0h5ppXhhaCrmPfwLnPctT0k/bgc7YXu1Hr66l7+pmYz/BDZV53LeaCgvaArlN551/QgsGotsOnFtNrnwJA5VsaWfDONnGkhiAIv2kiWRQEQRCEX9CPLXgzbvwEQkW90UwWQ/zYbz8msy5SvfPenXtpCoWj+nbLTODsw417F5+at4Mh+8yk1Ye7stl3dOSNGoTPbop59mLSMUVIFpnLamZgV43VRP8v/Su8cvuSWM0bxrWgAjl7AP3SLjQsR8WmUXO9hGeMSrCbhmbTaXjzTQIlJQf8e3SW7HCQe+89hlhw507qn38hqq0kSUw8rw853YyzoBsX7GXd3PKf7J4EQRAONSJZFARBEIRf2I8peJOYmMjhR4zBV9A9quDNlPn/RdJU6kNhHiyJfezDDcf0JMFqanvf5A3x3q6aqJm0pe6zCWqt5zPu/g5Wvxk1lpJkIWFsAWnhZM6rPd5wrcXk4YO02YaYe0EFqjtI0ui7KGrJMFwzd/HSfI5K3a1hqh4LUf1XL6sWncn27Q9RWfkhLa4NqOqBk+n9cR5xBMkzZhhidS+8QGD79qi2JrPC1CsHkphuTIK/e387pevqftR9CIIgHKpEsigIgiAIh4AfU/BmzJgxmJJT8ecWG+I5dXsZsS5SXObfe+tZ0xJdxTMjwcqV4437FF9dVErxxDxMHSqB+rQUVnpObW80605w10aNlziuADnRzAmN4yn2G/ce/jdtLk1K+95DPajimlcGskzX8W/j9MbfA6imgTevnj1lL7Jp8x9YvvxE5n8zkEWLj2b9+mtpaFgUt+/+ZP/pjygZHRLVUIi9d96JrkYfO+JIsjDtmkGYbe1LZNFh1ssbqSt3/6DPFwRBOJSJZFEQBEEQDgE/puCN0+lk1KhRhJPTCSWmGq6NWTGH5JYGdOBP28pQY8xUXnJkN3KS2mfMgmGNp5eWMuRY4xLVNZ7ptIRbj7bwN8Gcv0aNJVsVkiYVoaBwXdVZKHqHhFMJ8G7Gl4b27iWVhJv8yGnd6Z97PabQwRSN0fD5SqmpncmatRfjcm08iL4RSnIyOXfeaYj5166j8a23YrZPz0tg8mUDOq4aJhRQ+fyZtXiaoyvFCoIg/JqJZFEQBEEQDhGRgjd3/qCCN6NHj8ZmsxHIKUSX22e+zOEQx37zMeg6a10+3txbH9XXblG4+dhehthHa/Zi7Z+CM7l9L2TUURqr34Sy5VHjOYfnYMpy0M/XnT9WXISst2dWn6csoMbU0N5Y1WmZvQeAxOE3cYT1EgZubKFbqYesmgD2FhWiJ/mi6HqIbdvv/0EFZxInH0vCMUcbYjWPP0GwvCJm+6L+6Rx5uvHv5W4IMPO59YSDnbhZQRCEXwmRLAqCIAjCISQtLz9+wZtg/Jkru93OEUccgW4y4882zk4WV+yk/7ZIddQHSyqpDUafEXjKsAL65CQaYn+fvY2RJ3U3xHYGjmBvsF974ItbQDMmSJIikXxcpEjOONdwbqo8D6k1YQzJYd7K/NzQ3ruymlDrQffmCXeSNeAmuu7xMXCLiyPWNNLnqRCZ95lIeUUh4UsZ2wYTNrPx2A+Apqal1NV9HfdvFI8kSeT85S7kxPbn130+qu6+O27yOWhiAQPHG++helcLc/69GV0TFVIFQfhtEMmiIAiCIBxi4hW8Wfbf/9tvv1GjRpGamko4OZ2ww5j4TVw0E4fXTVNY5b6d0cVuFFnituOMB9AvLqlnb4pEVpFxrO9aLkb/frawci2sfC1qPFvvVKyt1UOPaR7FtVVntV2bnbyUPZaq9sY6tMwqbX8/4TY48ua2t9n9XFhrwbFCIekTE2nPyOR/PIrx49aRljbW8LnbdzyEpkUff3Eg5uwssv5wqyHmWbiQlk/i7xk98vSeFPZLM8R2rKhh2ee7DvrzBUEQDkUiWRQEQRCEQ1Csgjcrv/gEb0tz3D4Wi4UTTjgBJAl/bpGhOqo94OOoRZEZvXerGljWFF2QZXyvTMb2NFYlfWjmVkaf0sMQqw13Z4tvQntgzr3gMS5vlSSJlBO6I7UWyTmu6Ugur4oUyNEkjX9nGpMw34Z6guWu7zvD0XfB6GsBMFk1Mge2GNt/9imuNVvp2eN2On6d8fl2U14Re7/hgaSceiqOw4xnRFY/8CDh+uiluwCyInPsZQNIzXUa4is+L2Xr0qqYfQRBEH5NRLIoCIIgCIcgSZaZcvXN2JPaz/YL+X2s+Oy/++3XtWtXRowYgW6xEcw0ViPtu2M93XZvBeBP28oJx1guedvUvobiLdtr3CxoctFjeJah3RL3+QS11qI4/iaYe2/UWOYcJ+nn9QMlMuDJjUdxYc0JACxMXMM2225D++avSjv8ASQ49j4YeRUAqT28WJONy2dX3XonJktX8vPPNMR37XqSUKgp6n4ORJJlcv92L5LV2hZTm5upvv+BuH2sdhPHXzMIW4LZEJ/7xmYqtjYe9D0IgiAcSkSyKAiCIAiHKKvDweEnnmqIrf7yU7zNTfvtN2nSJJKTkwmm5aBaHcZrCz7BHAyw2ePn5Yrooy/65SUxY2iBIfbY19sYPK0YxdT+tcGrpRiL3ax8HSpWRY1n65VK+ll9oDUBPaN+CmfVTQUJXsv82NA2sL0J/84OzyZJMOVBOOxSJBmyhxlnVfOqdvHCHU9RWHg9ipLQFg+Hm9m168mYf5sDsRQXk3HtNYZYyxdf4Jo3L26fpAw7x105ENnUnmVrYZ0vnl0njtQQBOFXTSSLgiAIgnAIGzxpKs6U9uMwwoEAyz5+f799rFYr06dPb1+O2uFakruZscsiRWAe2VVFVSC62M2tk3th7ZAY1roCvLNpL0OOMRbO2eibQql/ROs7Hb64FbTooy/sAzJIPbW9euh5tcczo/5oVju3sMax1dC27ottxqIykgRTH4FhF+DMDpJY4DO0P3zWW9z3/g6Kiq4yxMsr3sTr/WF7B9MvughrP+P+zaq7/0qoKv7S0tweKRx1nrFP0K/y6ZNraKn3xeklCIJwaBPJoiAIgiAcwsxWG4efdJohtnbWF7gbG+L0iOjRowdDhw5FszsJpWUbrg3bsJS8qj24VY2/7og+HiI32c4lR3Y1xF74toTCsTkkZ9kN8bkt1+BVW5fKVqyE1W/EvB/n8GxSTohUVpWQuLRmBsc1jeX1LOPsIhUBqteUGGOyDMc/AUPOIWtIC5LcnkwmBzykv/s8D34zCE3KaYvrepjtOx6KeS8HIplM5N13HyjtR5CEa2rYc8mlhBvjLy3tPTKH0Scbq8d6m4N8+q+1+N3RSbkgCMKhTiSLgiAIgnCIG3T0FBJS26tuhkNBln383gH7TZ48mcTERAKZeWjm9n14EjqTv/kIWQ3zUU0TCxpcUX2vnNCdNGf7GYveoMqT35Qw6aL+SHKHYz20FOa1XE3bZODsv4I3diKbcEQeSZOLWu9B4pqqMygI5LAoYY2h3Z5P1lHnqTN2lmU44UksR5xKWh/j0s7jSpZQuXw5L6yZYojX1c2mrHJBzHs5EFu/fqRfcokhFty5k7LLr0B1e+L2G3psIYMmGpfxNlV7+ezptYTEGYyCIPzKiGRREARBEA5xJouFkSefYYitm/0lrvq6OD0ibDZbZDmqrODPLTJcy2isYeTqbwG4bXs5gX2WjybZzNxwdE9D7N3le2hxSBw2rdgQLw0czibfpMgbXwPMuz/uPSVO6ELi+EgyJSNzY+W5bLTvRKP98/N8Gbz89hN4QvskZbICJz5DxqlHY7J3SLw0iUc2PktpdTE7m4z3NnvpHRz/r2944IvNzNtagycQjntv+8q8/joSjjnaEPOvX0/5NdegBWKfeSlJEkee1jOqIFD1rhZmvbgBTY1episIgnCoEsmiIAiCIPwKDDjqWBLTM9veq6EQSz868Oxir169GDRoEKoziVByuuHa6FXfkN5Qww5vgOfLoovdnD2ykK4Z7cdCaDo8NHMLw6cUkdMtydD2O9fFNIVbq6+ueCVy/mIMkiSRNKUY56hcABRkLqo9ifWO7YZ2R+8ezn0L/mbcvwigmJDPeJmsacbjPPRKibdK72fWVmNyV5hUQTJzeOHbEi56dTmD75nFac8tYvam6pj3Z7hXk4n8Rx/FMcp4hIl36VIqbr4FPRw78ZRkiWMu7Ed+rxRDvHR9PfP/szX6mQRBEA5RIlkUBEEQhF8Bk9nMqBnG2cX1c76ipa7mgH2nTJlCQkIC/uwuaIqpLa5oKpO/+Qh0jcdLq1i8z9mLZkXmT1N6G2JzttSwtLSRYy7qh9naYU+fbuPr5htQdQV0DT6PXewG2s9gdAyNzL6ZUOjr7UaY9tnCnFAGxcsSeXvL29EDKCaS/voR9kLj+YbqGvj7jtdZWznAEJ/R41OsSmQmMKzpLC9t5PI3VrB6z4GPtpCtVgqeegrboEGGuHvOHCrv/At6nGdUzDJTrxpEen6CIb55YSXLPvthhXcEQRB+biJZFARBEIRfif4TjiE5q71YjaaGWfrh/x2wn8PhYNq0aaCYCOQUGq7lV+9hyKbl+DSdU1bv4F+7q9E6zHxN7p/DiKJUQ58HvthMYrqdI083LlOtCfVihbu1GE/5Mlj3Ttx7kmSJ1FN7YesXme20YI5qM61pHKu+/oa1tdGzlJLJQu6/Xke2dPwqIxFaInH21u1oentSnGJrYUrxHEN/TYfbPlxPqBPLQpUEJ12efw5LD2PxmuaPPqL6oYfizhRa7SamXzeYxDSbIb7i81I2fBtdWEgQBOFQI5JFQRAEQfiVUEwmRs0wHkC/Yf7XNFXHP9Lhe3379mXAgAGEE1MJJyQbro1bMosEdzMa8EBJJeesK6EuGFliKUkStx1nPBJifUUzn67bS98jcuk2JNNwbaXnVKqCrbORX98Fvqa49yQpEuln9cHaIwWIzDB2nF0EuLryDJ784h80+qNnAa19+pP/5FNtZzgC6KpEy0dhCsuMbad1m8vgXOM+wy1VLl74dp/Kq3GYUlMpfPllzPn5hnjjv9+g7pln4vZzpliZfv1grE6TIf7t21spWR299FcQBOFQIpJFQRAEQfgV6TfuKFKyc9vea6rKkg/jz+B1NHXqVBxOJ/6cInS5/SuANRRg0oJP+b6k6bwGF5NWbGVp67LU4UWpHDcwxzDWw19uxRdSmXBubxxJ7VVTdRS+br6BoGYDTy3Mf3C/9ySZZdLP64elMBGIJIxqh2I3Ft3MVTtO4Z45d6Fq0dVEE8ZPJPeevxpialBBelHF3OG0CkUK8sCkRcwYakz2/jlnO7vq4lc37cicnU3hKy+jZGQY4nVPPkXDG2/G7Zea4+T4awZjMrf/zXUdZr28kb07mjr12YIgCL8EkSwKgiAIwq+IrCiMPvUsQ2zTt3NprDzwskan08lxxx2HbrYQyDQe79Bj9xYGblnZ9r4yEGLGmh082bos9Y+T+2BW2qfwKpp8nPnCEly6xlEXGGceW9RcvnNdHHmz7AWo2rD/Z7IqZFw0AFOuA4gUvekoO5TOUasG8vSqp2P2Tzn9DDKuvMIQU+vNJH9hbFdV9V9uGq+S6mhf8hoMa9zx3/WdLjpjKSqi8OWXkJOMBX6q77+f5k8+idsvp1syky8bYDh2RA1rfPHMOur3uuP2EwRB+CWJZFEQBEEQfmX6jBlPal57sqdrGks+6NzsYv/+/enbty+h1ExUu7FAzLELPiW/cnfbe1WH+0sqOW/dLhKTrJwz0nj8xrryZk5+ehH+dAsDJxiTz82+SZT4D48Uu/niD3CAZEy2m8i8ZCBK6/6+jkdpAAzz9CU4r5qPd3wcs3/GDTeQfMJ0Q8z8tRlLrfFza/b+g79MMya3i3bW8/7K8v3eX0e23r3p8txzSHa7Ib73tttxzZ0bt1/xoAwmnGMsGBTwhvnsybW4Gvyd/nxBEISfi0gWBUEQBOFXJtbs4ubvvqG+oixOj3aSJHHcccdhdzjw5xajS+1fBWRN5azZ75DoajL0mdPQwqQVW5kwMp9+ucYZtYomH6c8uwh1YDKpOQ7DtXnN1+BRU2HPIlh/4GM+lAQLGRf1R3aYkJEJYTya4sz6KXzx5Xt8tvOzmM+Ve999OEaObI9pEgnvGAvnNDUt48gumziyh3Ep6f1fbKbOHfvsxFgcw4ZS8K9/gbnD+KpKxY034Vm6LG6/fmPyGHlCV0PM3Rjgs6fWEvR3/gxIQRCEn4NIFgVBEAThV6j36CNJL2ivbKrrnZ9dTExMZMqUKWhWO/68YsM1yePixm/eI1M37g/cGwhxzuZSjjmuOxN6G4vauANhLn1rJeHD0pA7LLP060nMbb42Mqk4605wH7igiznTQfr5/cAkYcYUlTDesvd8nprzOC+vezlq6ahksVDw1JNYe7ZXabVtlrFulAztdux8iPtO7I2twx7CJm+I+z7bdMD76yhh7JHkP/IwSO3j68Eg5VdfjW99/KW3w6cWM2Ccce9kw14P897YIs5gFAThkCKSRUEQBEH4FZJlhSNOO9sQ27LoW+rKdsfpYTRo0CB69epFOCmNQEau4Zq/fDd3rvqSEYnGZZaqDg+X1xAams5ph3cxXtN07lqwHW9v47mCe4LD2OCdCu5qeG0auA5cudVanEza6ZHlmmZMhiWpDs3OXeVX8PyKZ/nTgj/hC/sMfZXERLq88DymrKy2WNKHCh2LrPp8e5B9H3LjMb0MfT9as5dvth1chdKkKVPI2afAjubxUHbFFYSqY5+BKUkSY8/sFVVJdsfKGtbOOfDssCAIws9FJIuCIAiC8CvV8/AjyCwsbg/oOovfj3GIfQySJHH88cdjt9sJZuQRSkgxXC9fvpjbSldxdZesqL5zGl3Mz1G4cUrvjpNqADy1twZPkmKILXRdQEO4AOq2wqtTofnA+wMdgzJJnto15rXCYC43VZ7HzJKZnD/zfCrcxuI+5txcujz/HLIjsizWXCnjWGj8ylNS8hgn9N5C332W1d7x3/V4gwe3HDT19NPJuvUWQ0xtaGDvrbeiq9EVXAFkWeKYi/qRnm/cN7row51UbI0+JkQQBOGXIJJFQRAEQfiVkmSZ0aefY4htW/IdNaWdOzswKSmJE044ASQJf35XVKtxJnHJe29xVkMp/x7YlRSTMQEsC4RYmSbz3LnDsZvbr+kSvKl7CHf4hqFiZXbTjai6CRpKIgljY+kB7y9hXD7OUbkx9y+OdQ3jlIZj2NKwhTM/O5P5ZfMNSzhtffuS/69/gRK5t8TPFKQOk5Cq5mPzpuu5Y8x/sZva9yqWN/p4Yvb2A97bvtIvvZS0Sy42xLzLl1P3zLNx+5itClOuGIjF3n4Go67pfPXSBtyNouCNIAi/PJEsCoIgCMKvWI8Ro8gq7m6ILX7/P53u37dvX4YPHw6ygq+gB5piPDx+5lOPMdTTwNeH9WZYkrGAzdf1LbjSLfzfFaPJTLS2xVsUnVm2oKFtbbg7i13nRt407YFXp0H9zv3emyRJpEzvjq1PGmZM+CXjmBfVnMRgTy+aAk1cN/c6zvr8LObsnoOmR5atJhw5htx77wGzHWviUPJnn0vxor/RdcHDpJZOAR0CLR/zyITHKUra0zbuSwtK2FDR3Lk/YAdZN9+MY/QoQ6zumWfwLFkSt09KloNJF/UzxHyuEDOf34Aa0uL0EgRB+HlIv4WN1CNGjNBXrFjxS9+GIAiCIPwidq5cxkcP32uInfvgE2R362GIqeEw7oZ6XHW1uOpraamrxVVfh8/nZZtPw+X1onhc2PdsQ6L9+0FSZhbnPPA4poREZqzewYoWb9u1FJPCN4f3IewLc8lry9lS5Ypc0GG610yfkDH5PC7lAbralkfeJOTABZ9CpnHv4L60gErtC+sIVbgJSiEsensF0mbFxbVdH6LO3L50s3diL67NuJRBnl6EdrYQKncBUtS4FYOfxJ0dOVtS1RT+u+M4viw9Gh2ZAflJfHT1GEzKwf139XBtLSUnnYxaX98WUzIz6PbRR5jS0+P2W/ZpCcs/LzXE+o/NY8I5fQ7q8wVB+P2SJGmlrusjftIxRbIoCIIgCL9uuq7znztupmpn+/LJ3B69yevdF1d9XVty6G5qjHveoWq14+8+AE3XMTfWYqsyFsop6DuAU+/8G7uCKkcv30pAax9nSkYSrw7oijsQ5pr/rObb1iIxNg3Od1lJ1tsTLqvk4vSMW0hSWgvJODPh/I8hu/9+n1F1Bal5eg3hpsjyTKlD8rfVVsoL2e8zyNuLwZ7e9PN1MySU8QTtNZQecQe6EmqLbW7oycvrz6UxkMqd0/py6dhuBxxnX55Fi9hzyaWGv7VzzBi6vPgCkhw7+dQ1nc+fWcfuDfWG+MTz+tBvTN5B34MgCL8//4tkUSxDFQRBEIRfOUmSOOL0cw2xyh1bWfn5R2xb8h2VO7bibmyImygCKAEflppI4ZlQaibBVGOlzvLNG5j7yvN0t1v5U1dj9dQv61r4qKaJRJuZVy4YwdkjI0d6+GX4zBlC7TBLGdATmdV0C6reus/RUwuvHQ+Va/f7jEpi6xmMNhNhjEVjevuLeXT3rVxQewJDvL07lSgCWHxZpO451hDrm7ade474O8Oy1vLorG2UNXjj9I7PecQRpF9xuSHmWbiQ+pdejttHai14k5RhM8S/fXsbNbtbDvoeBEEQfgoiWRQEQRCE34DiwcPI69X3R41hqqvEGoxUgQlkdyHsSDRcXzfnS9bO+oIrumQyfJ/9i7dvK6c2GMKkyNx/0gDuOK4vkgR7TRoLbMbiNNWh3ixxdUhufQ3w+nQoX7nf+zNnO0k/rx9m2YRPCuy37b52WSv4KnUB3uaNhnj61umYm5INMafZyzVDXub0nm/y149X/KCzDzOvvRb78OGGWO0//4l31aq4fWxOM1OvHISpw/mPalhj5vPr8bmDcfsJgiD8r4hlqIIgCILwG1G+aQP/97fb0bX4hVGcKakkpmeQmJFJYnomkiSx8vOP2q5riolA7yGEdZDCIRylm5FD7YmKJMucesff8HftzaQVxuWox2Uk8/KAYqTW8zS+3FDFje+uxh/UmOGx0D1srKg6LeV+im0d/vfbkgjnvg+FxiIx+/KsrqHx3a34JD923RazTbW5ntWOLaxxbmWtcytNpsheykyvg1d23oPJ1H5kRaDyO6rGvIS/R/Q4VZ4sknLvZ/qIo/Z7T7GEqqrYddLJqE1NbTFTbi5dP/wAU2pq3H5bl1Yx+9VNhlhBn1SmXzcY+SD3UAqC8Psh9izGIZJFQRAEQYjYtXoFW5d8h6KYWhPCDJJaE8OE9AxM5uglmrNffpa1sz5vex92JuMr7AmA7Pfh2L0ZqUMCaktI5JwHHudNv8R9JZWGsZ7rV8RJ2e2J0I4aNze9u4btZc1c4LKS1GH/oiQHOC/9GhKVDvv0zE44+13oOna/z9kyZw8tX++mSXGRoibSpLhY69zKGsdW+gwfyvThJ/PGpjd4d+u7+MI+Q9+Ta8dzed0Zbe91XcPzzf14jiih+TgNXTYWwwlrCjk5p1OYfwIpKcORJGPSuz+u+fMpv/IqQyxh4kQKnnm6LamOZcG721g3z3ge5bDJhYw+OUZGKwiCgEgW4xLJoiAIgiD8cOFgkLfv+gM1u9qPsgjkFLXtW1RcTdjLdxjqiaYXFHL6vY9wyuYKVrva9/WlmSPVUTMt7UlpMKzxrznb+Wh2CWe4LMgdRtJNNVyVfjWK1GEfoskGZ/4Hehwd9551Xafxg+20rNjLPQXPsTJhE7rU/p3mqaOeYnyX8TQHmvnP5v/w5uY3aQlG9v4puswzJbdTGGwvHBOu34FvwcNoPUM0Xa7jd0Z9JAAWSxZZWZPJyjyu04lj9d8fpuHVVw2x7Nv+TNoFF8Tto6oaHz++msodxiM8plw+gO7Dsg74mYIg/P6IAjeCIAiCIPzkTBYL02/8MxZ7+z5ES/UeTOHI8lM1MYVgZr6hT335Hr5+9gke712ApcMMWUNI5bZtxhkxi0nm1sm9eeKakaxPM86mSeEsnmw2HvtB2A9vn7XfojeSJJF6cg8SB+dwU9W5pKjG/ZW3fXsbZa4ykq3JXDXkKmadOotbR9xKkiUJVdJ4PvsD498gvQem/BHI281k3CeTWh67SE4wWEN5+RusWn0W3y08kq3b/kpj03J0Pf7S36ybbsQ2aJAhVv2PR/GtXx+3j6LITL5sAI5kiyE+5/XNNFR64vYTBEH4KYlkURAEQRAEUnJymXzl9W3vJV3Hsntb2xxgMD2HUJJxn92O5YtpmvUJt3bNMcQ/q23mk5qmqM8YUZzGo38Ziy/dmIiZ/f14yHOLsbEagPcugoAr7j1LikzaGb3pMrQ3t5Vfgtxhiasr7OLGr27AH44cteE0O7mg/wW8NuU1MuwZrErYzNIEY7Jm7X8qKBa0ZhMJj2okrEymJZAQ9/PbEsdVZ/LdwjFs3XZPzMRRsljIf+xR5MQOCW0oRMVNN6O64j+fM9nKlMsHIivtCXYooDLzufUEfeG4/QRBEH4qIlkUBEEQBAGAXqOOZMjk49veK0E/lsrW8xYlCX9uMarVWAV14XtvMbV2N4MS7Yb4bdvKqQtGJzSJdjPX3DYSxWkyxBX3GO7xX2Fs3LATvvjDfu9ZkiVSZvRg9LDxXFxzkuHaNs92/jbrbkOsZ2pPXpvyGjnOHF7M+oAQ7fcoO9Kw9JgEgBpQSH3DjWVmJk+tvoQllcPxh61x7yOSOP6bVavOZOHCI6mtnW24bikoIPe++wyxUHk5lXf+Zb/VVnO7J3PkaT0NsaZqL1+9tJFQUI3TSxAE4achkkVBEARBENqMP+8Ssru1F1ExN9Vicrfum5MVfF26oykdEj1d58un/sH9KSbMHZaj1ofC3LHduBz1e/YECydcNQipw7cQhy7hd03irdA++xTXvg1r39nvPUuSRPLx3bhg8IWMaRlquPZJ7Re8Pf91Q6woqYjXp7yOnGHlk7T5hmuWnlOQbCkAqEGFHvPKmL5jNS+uv4Ab59/PU6svpZmJKEqcTY1AIFjNuvVX0tRkrKeQNPlYUs8+2xBzffUVTe++u9/nGzA+n96jjLO3ezbW8/Hjq/G5xJEagiD874hkURAEQRCENiazmeM77F+UAOveXchqZAZON1vx53drvRIR9HnZ8Mw/uDknyTDWxzVNfBZjOSpAXo8URp7QzRArUBVmuy9lq1ZgbPzZzVC3Y7/3LUkSKZO7cnf/O8gPGAvAPLLrCVYu/M74+Ql5vDblNRZ320yz0r4UVDJZsfaf0fZeC8mMWbCOaxs/IKRZWF07iD/MnkFC4ZcMGvgs2dnT4ySOOps2/xFV9RqiWX/6I9a+xvMwqx94EP+WLft9tgln9yaji3FJbPWuFj54eCVNNd44PQVBEH4ckSwKgiAIgmCQkp3D5KtuaHsvq2Gs5e2VUlVnEv5sY0LXUFFG8advMchpXKr5523l1MdYjgow7NgiCvulGWIjAjbu9f4Zv95hX2PIA+9fBOHAAe8996jePNzzb1i19sIwITnMHzffQcWirYa2WY4snjn+Ob4qXmaIm7uMQk7t2vZeC8sc/91Cnq1/lCQ8qJrODe9uwZIwkQH9n2DskcsiiWPW8YZxfL7d7Nj5D0NMtloj+xcd7ct59WCQ8muuJVhaGve5TBaFaVcPJi3PmJg21/r44OGVVO1qjtNTEAThhxPJoiAIgiAIUXqNHMPQqdPb3pu8Lsz1VW3vQ6lZhJKMiV7JiiVcu3OFYTlqXSjMnXGWo0qyxNEX9sO5T8XPIZ48/ha43Ni4ah18bdx/GM+giUdwR6GxYE6NuYE7V99N87d7DPE0WxqXnHcTe511hrj3iDPpOHuqqzLFC/fyac1tjJPXUtHk4/YP16PrOopiIzPzWAYM+Cf5+ecaxikvf53GxiWGmLVrV3LuuccQC1VUUHr2OfutkJqQamXGH4aT39tYaMjvDvHxY6spWVMbt68gCMIPIZJFQRAEQRBiGnfOxeR0by+uYq2paN+/+H3BG5ux4M32j97lRm+lIfbfmiZm1jbF/AxHkoVjL+1Px/PpHbqE6prIp+HRxsZLn4WtMzt17ycffTanZ55siK1I2Mhzy56lZfZuQ1GZZFsyvc4wflamuSsrJo0yDqpJeBeb+VfZkzxgepH560t4d3mZoUmP7n/Ebis0xDZt/hPhsPG4i+Tpx5Ny2qmGmNrQwO4LLsS9YEHc57LaTUy/bjC9RmYb4uGQxpfPr2f9/NiJuSAIwg8hkkVBEARBEGKK7F/8E1ZHZOmjhI6tfAfWoC/SQJbxFexT8Aaw/N8rjAwaj4T4Y5zqqAB5PVM5fLpx/2IXVWFu8w2UaZnGxh9dDc0Vnbr/P0/+CwMT+htib2V8ztzFM2n+fBe61p4wpvTKwdIvxdB2UPLJvDHJWOUVXaJyeQqTdyzjK+ufmPnpu+yoaX9Wk8lJ375/N3Tx+8vZsdMYA8i56y6STzzROLzXS9lVV9P00Udxn0sxyRxzYT+GTyky9tXh23e2sejDHYZnEwRB+KFEsigIgiAIQlzJWcb9i5KuYy7ZRKISef99wZuOqUnQ52XqzDdxhPxtsdpgmGs27UaNc0zE8ClFdOlrXF7ZI2Tl2aYHCWkdvq74GuDDy0E78LERZsXMY1OeINWc0hbTJZ2H815j55J11L26AdUTaruWNq0HdDjTMD2cQmrhFJ48XkaVMKhZk4xlXYDX5PvY9NIV+D0tbddSUw+nS8GFhvYVFW/R0LDQEJPMZnIfepD0y/dZchsOU/nn26h74cW4x2pIksSok7oz4ZzehllZgNWz9vD1KxtRQ1rMvoIgCJ0lkkVBEARBEPar5+FHMGzqCW3vJV1H37iSJHMkY1SdSQSyuxj6eCoruHrRZ9DhgPpvGl38Y1cVsUiyxDEX9Sc50ziTlx9M56mWBzDkTLu/g2+NhWPiyXHm8MjEfyB3+MrjMnm4t8vzVOwqpebJ1QTLIzODpnQ7iWONhXtOaTiGrb0z+McpMkHFOHb95kSqViYzPfA53n+Ngt2L2651734rdnuxof3mzX8mHDbOuEqSRNbNN5F9553sm/XVPvYY1fc/gK7GT4z7j83nuKsHYbIYv9JtX1HDJ/9ag79DMiwIgnCwRLIoCIIgCMIBjTv3IsP+RUnX0dYvI6H1m0QoNYtQcrqhj7R5DadvMM6mPb67mll1sSt3OpIsnHDjEBJSjRVVLf7evO+6ztj4m4eg1Dh2PCNzR3LdMGP/Els513V9kNXB9dQ8txbP8kgSmzixADmxvRKrRTdzSc3JrOwp8+AZMj5jLR6adjjZuziFVF8F+qtT4cvbIeRDUez06/cwHYvk+AN72b79gZj3mHbuOeQ//jiS2WyIN775JhU334IWiF8JtnhgBiffMgx7orHv3u1NfPjISlrqfXH7CoIg7I9IFgVBEARBOCDFFDl/0ZnaXgFV0nXYtAqHrkYK3uQURRW8KVr4FcPLtxli123ew25f7OQnKd3OCTcMiUp8arxHsdDdoSCMrsEHl4K3oVP3f8mAS5jYZaIh1mRycVvhv/gg6WsaPthG44fbkRSZ5MldDe3GuYYzwNuDjUUy956l4LIZx27Z46D8uzT0MLDkaXjuSKhYRUrycAoLLzG03Vv5f9TXfxP72adMpstLLyEnJhrirq++ouzSy1BbWmL2A8gqSuKUP44gJdv492+s8vLB31dSu8cVp6cgCEJ8IlkUBEEQBKFTkrOyOfOeh0nOzmmLSbqGvHUtNjXUWvCmR1TBm0mz3yOjqf1Yh+awyiUbSvGpsffUpeY4mX79ECx24zhr3OewyXt0e8C1N1LwJs6+vo4kSeLBsQ8yJn+MIa5JGi9lf8gD+S9Ru6KUmufWYumehLkgwdDumqozcap2duZJ3HWeQoPxMu69NvZ8k4YalKB+B7w2DXYtoFvXm3A4uhvabt5yO6FQ7MTPOfJwit58E1NWliHuXb6c3eeeR6i6Ou4zJmfaOeUPw8ntnmzs2xLkw0dWsn15/L6CIAixiGRREARBEIROS8nO4cx7HiajsLgtJukapu3rsYYC6GYL/vzu6B2WX6p+Hxd/+QaDNy3DFAoCsMHt48/byuMWcMnsksjx1w6O2os3r+VqdviPaA9smwnLXujUvTvNTp4+6mmuGnxV1LXvklZzY/Hf2Vmzndqn1uAYYqzCWhzI45+7/0xOMJ2KDIm/nKdQlWIcw1drZc+8dMJ+GUJe+M/pKHuW06/fI3T8yhUIVLF9+9/i3qetdy+K33kbS3djkhnYto3SM88isHNn/L4JZk64YQjdhxrvPxzSmPXyRhZ9uANNVEoVBKGTpHj/T/rXZMSIEfqKFSt+6dsQBEEQhN8Nv9vNfx++l71bN7XFdEkm0K0vIYsdc0M1tuqyqH4+q521/Q5jdf9RuBOS+EfvLpyblx7V7ntlmxv47Om1aOH27ysSYaalPkiRdVXkcxUL0qWzIXdwp+//2/Jv+fOCP+Pa54gPm2blpr3nMs49HFOOk3Cl8XxEl8nL3fnPsNlRQopb5453VIpqDU2wJIYonFCP2amByQ7n/B87tGXs3v2sod2gQS+QmXE08ahNTZRddTW+1asNcTk5mS7PPI1j+PC4fXVNZ+EHO1g7J/rfoLB/GpMu7o/NaY7RUxCEXytJklbquj7iJx1TJIuCIAiCIPwQoYCfTx97kF1rVrbFdEnGX9yHsNWOrbIUc3N9zL6qLLO12wDWDR7Di1MmMiTJEbMdQMmaWr58YYPh7ECFINPT7iXfsjESSOsOl84GR1qcUaKVucq4ad5NbG3cGnVtRv3RXFRzEma7Fd1nPB8yLKv8I+c1vkleidOn8+f3VHrvc/SjYlXJG9lEQl4ATHa0s95kWd0/8Hi2t7WxWDIZNfJLzB2O9tiX5vdTccutuOfMMV4wm8m543ZSzjgDad+zMzrYtHAv37y91ZBsQ2TJ6tSrBpKelxCnpyAIvzYiWYxDJIuCIAiC8MtQw2G+fOZxtixsL9qiyzK+ot6oFjvW6jLMTbXET2egNreI0087gyGjxiArSsw2W5dWMfvVTYaYWfJyUtpdZJlbl2XmDoELPgFbcvQAcfjCPu5bch+f7Pwk6toATw9uK7+EdFMaejD6+IrXMz/hnfQvsYZ0bv1AY3Bp9Heq1J4esgY3I9vstJzyECuqHkDX28fKyT6R/v0f2+896uEwVX+7j6Z33426ljxjBjl334VstcboGVFV0szM59fjbQ4a4marwjEX9aPbPktuBUH4dRLJYhwiWRQEQRCEX46uacx97QXWfPVZe0yW8RX2RrU7kUJBzI01WBprkbT4ZwYmZmQxbMrxDDx6MlaHM+r6+vnlfPuOsbKqVXJxctodpJtbl1sWjoZzPwBLdP+496/rvLftPR5a9hAhzXguYVoomdvLL6V/qAeo0d+Z5iYv44mcN9G1ENd/ojFqa3QbS1KI/NGNWDNN7Jp6FruaPzVcHzjwGbIyJx/wHuuefZa6fz0Zdc3Wvz8FT/4Lc15e3P6epgAzn19P9a7owjqHTSvmsGldkeT9pfSCIBzqRLIYh0gWBUEQBOGXpes6i99/m8Xv/6c9Jiv4CrqjOpMiAU3F3FyPuaEGJeiPO5bZZuewE2Yw6uQzkGRjgZtVX+1m8X+NBV4ccgMz0m4n2RSp9ql1m4h81jtg3ueMiwNYX7uem7+5mSpPlSGu6DKXVZ/Cia6jQAP2KRCz2bmLu/OewS27OWWhzikLNZR9v17JOlmDWkjur7JyQl/cofa9hGZzGqNGfonFEn/v5vdavppF5W23oXm9xntMTSX/8cdwjhoVt68a0vjm7a1sXlQZda3r4AyOuagfFpspRk9BEH4NRLIYh0gWBUEQBOHQsGrmp8x77fm29zoQzMwnmJHb3kjXkTwtuMIhcitL44418KhjmXTZtVEJ4+KPdrLqy92GWKJcw/S0e0g17QXA330ytrPfAuXgirg0+Bv447d/ZGnl0qhr0xrHcnXtmSgmE3rAOENaY2vk9rx/UmGtoWeFznWfqOQ0RY8fzg2RdbSXjUckoNM+ht1eTHbWVNIzJpKcNARJir0cFyCwYwfl115HsLTUeEGWybrlFtIuvijuPkZd19nwTQXf/d/2qKqoqblOjrtqIClZ8fePCoJw6BLJYhwiWRQEQRCEQ8fmBfP48tkn0NT2ZCiUkEKwoDtahyTGbbExr1t/+m9ZSb9tazCr4aix+o07islX3YAstydPuq6z4J1trP/GWFXGJrUwLfUBciyRgjV1xceTcf6/QY6feMWiaipPrXmKl9a/FHVtmLsvd1RdQYI9Aa3FuAfQawrw17xnWO/cji2gc9FsjYnror9neWyw8/IQGX1ifwczm1NJTxtPRsZE0tLGYTYnRd+jy8XeP/0Z99y5UdcSp04h7777kJ3xl+JWbGvkqxc34HMZl91aHSYmXdKfov4HnuUUBOHQIpLFOESyKAiCIAiHlpJVy/n0sQcJh9oTKs1sxdelB5rV3harSM7gs8FjsPm9DN60nOHrF+HwG5dY9hkznqnX3GwofqNrOnNe38zWpfssGSXAsSmP0c22DIDNOSfS5/JXkQ4yYQSYu2cut393O56Q8fiMwkAu95ZfQ35qAeFq471qss5/e33LK/J7aLrGyC0aV8zUSNhn1a0u6+y6K4wta//fwyRJITl5OBnpE0nPmIjT0aNt1lDXNOqff57afz0J+3yfs/bsScGT/8JSXBx3bFeDny+eXUddmXufz4TRM3ow5Jgu+620KgjCoUUki3GIZFEQBEEQDj3lWzby8cN/w+9pT0Z0ScafU0g4JaMttrpLD5Z2GwBAalMdZ3z6CokeYyGWXiPHcNz1f0Axte+p01SN+W9F78GTUBmX9CIDHF8BMDvpZA678gWSHZaDfoZtjdu4ds61VHqMn5EcTuCv5VcxKGcIwV3NUf1Mo9NZ0msrcyrnsmXLQi772M/A3cbvXOE0nZoLwmg9dDpbW8ZmKyAj4yi6FJyPw9EVAPe331Jx6x/QWox/MzkxkbyH/07ixIlxxwsFVea9sYXty6ujrvUfl8+4M3oiK3KMnoIgHGpEshiHSBYFQRAE4dDkbqhn7mvPs33poraYDoRSMghkF4IsowOz+h3OrsxINc+U5npO//QVkt3GJKz7iFEcf+OfMJnb9yHqus6yz3ax4vPSqM8e7nyfkQlvIUnwhvlUhl30GP3zOn+sxvfqfHXcMPcG1tWtM8TNmombK89jatFUfOvrovqZMu2kntoLNc/E4oqF7H7+eUZ8shHzPgVhQwk638wA/0CNoYkWJM13wHuSJAuFhRdTXHQ1JpOT4J49lF97HYFt26LaZlx7LRlXXxW19/N7uq6zZnYZiz/cse8EJYX905l8WX9R+EYQfgVEshiHSBYFQRAE4dC2Y/kS5rzyLO6G+raYanPgK+iObrYSUEx8OGwCzY7IIfFJLY2c8enLpLiaDONkDBzKOX/8CyaLcZZw44IKvvnP1qhkp7dtHhOTn0aRVB5Tz6DghL9w+mFdDvr+/WE/dy68k69Kv4q6dm7tNC7rfgneldUQ3ucGJEgYk0/SsUXIFgX3hvVsu/Ii7HWeqHHmDZR4aarEn4adyfAEC3X18/B4tu/3vqzWHHp0/xPZ2dPRfT4q/3IXLZ9/HtXOPmQIWX/6I46hQ+OOtWdTPV+9sIGg35jNphckcPw1g0hIPbjqsoIg/LxEshiHSBYFQRAE4dAX8HpZ8PbrrP36i7Y9drqi4MvrhpqQTIMjkS8GjsZti1TjTHQ3ccYnr5Da0mAYp66oFz2vuoVTCrJJNrfPeJWuq+OrFzcQDmmG9l0sq5mS8jAW2c89ofPwDL2Me08cgM18cPsYNV3j6TVP88K6F6KuTWg+jL90/zPq2kbUfQrfACjpNlJn9MTWPQXN76fsxvPxzl8f1W59kcSjM2TOOexyrht6HX5/BXX186ivn0dj42I0LXpsgJSUw+nV8y4SEvrQ+O9/U/3wI6BGn2mZOHkyWbfcjKWwMOY49XvdfPbUWtwNAUPcmWxh2rWDyeySGLOfIAi/PJEsxiGSRUEQBEH49ajYupmvX3iS+vI9QOvxGhl5BDPzCComdmTmsyW3iJqkNBLcLZz+2SukNxmXee7O68oX085nSl4WZ+WmcURKApIkUbWrmc+fXoffbazymWHayfGp9+FUmvhT6DI2ZJ/IC+ePID/FzsH6dOen3L3wbkK68TP6ebvxSK/7SWyy4lleFbOvc1QuyVOLka0mXC/ext4nP0QLGpeHlqfDg6crjB1xGneNvhOltTiPqnqpqfmSnTv/QSAYvccQZAryz6FbtxsJrtpGxU03oTY0RDczm0k7+ywyrroKJSUl6rKnOcAXz6yjZrfLEDdZFSZf2p/igRlRfQRB+OWJZDEOkSwKgiAIwq+LGg6x7OP3Wfrhu6jhyJEZYWcy/rxidFNkT2KDI5EtuUWUJ6Ry4ldvkdFYYxijLLeID6aeT8hiZXxqIi8PKCbBpNBU7eXTJ9fQUmcsQZqoVDM99V6SlUpuDV3Bt45jeP684QwvSjvo+19ZvZIbvr6eZtVYVCY7mM5jXe+nV1E/Gj/YjtoUiOqrpFgjs4y9Ugl8+zZ7bvkrYZcxYWx2wN9PVehy+CT+MfHvWJT2ZbfhsIfS0qfZU/YK+j4JK0SO3ujW7Way5PFU33s/7nnzYj6DnJRExpVXknruOcj7LOsNBVS+fmUju9Yak3RJgrFn9GLghIL9/4EEQfjZiWQxDpEsCoIgCMKvU31FGV+/8BQVWzYCoMsy4YQUwompaMlpaLqOKkmUJaZRsGUFqc31hv4V2V14/7gLCFptjEtN4M1B3bDIMt6WIJ8/vTZqdswquTg+9X5yLFv5TB3F/doF3HTS2B+0j7GspYyrZ15JqX+PIe5Qbfwt8zaOPuYEWmaV4llcGbO/Y0Q2KdO6odXuYPcFZxCsNC4xDZrgyekywdHDeW7qczjMDsN1r3cX27bfR339/JjjJyb2p1evuzFvUal5+GH8GzfGbGcuKCDr5ptInDrVcFSGpuksen8Ha+eWRfUZckwXjpjRA6mzZVwFQfifE8liHCJZFARBEIRfL13TWD93Ft++9SoBb3vhF5PNzpFX38qusjK2bdtG0OvFWr4di89YHKYyM5/3jr+QgNXOyVkpPN2vCFmSCPrDfPXiRvZsNCaYHc9ibNYdPBQ+C/vIi7l9Wj9MB3lMRHOgmRu/uJ4VLasMcVmXuIQzuea0WwlX+2j8YBvhen9UfyXJQsrJPbAW2dh90Un415ZHtXljoszm8UW8etJ/SLGlRF2vq5vLtu1/w+fbE3UNICfnJLp3+xOBr5dS8/jjhPfGTl5tgweR/cc/4hg+3BBfN6+c7/5vW1TxoG5DMjnm4n6YLQd/hqUgCD89kSzGIZJFQRAEQfj1czXU8cYfr8fnal/aOWDiJCZfeQOhUIiSkhLWr1nNri8/QvYaD5KvSc/hw6nn4kpI4dKCDP7WIx9JklBVjW9inMUIGiMT3ma4830kCZZpvfkg7w/cfv5JJDvMHIyQFuLeWXfzUfWnUdfG+IfxwOS/k5KXScus3bgXVkQ2ae7DeXgOydO7svfum3B9ODvq+tdDJb6cnMwrp3xITmJu1HVVDVBW9jK7Sp9Bi3H0hsWSSf/+j5PiGEbjG29Q99zzaG53VDuAxEnHkHnTzVi7dW2Lla6r46uXNhAOGosHZRUnMe3qQTiSDv4MS0EQfloiWYxDJIuCIAiC8Nuw5qvPmfPKs+0BSeLcB58gu2v3tpDX1cK7995Bw55dhr4eewIfTT6bvTmF3N4tl+uLsoH9n8XY3bqIo5KfxCL7CeoK/7GcypEXP0CP3IMr4qLrOq989zz/3PkMumT8blUQzOaRXvfRf9xIgmUuGt/bRrg2OqGz9kgh/dy+1L/7CrUPPc4+w7Cmq8QbJ5p56qTX6JYT+wgMv38v23c8RE1N9PEZINOt6w0UF1+N2tRM3dPP0PjOO9C6Z9RAUUg++SQyr7kGc24kOa3d4+Kzp9fibTYul01MtzH1ioFkFopKqYLwSxLJYhwiWRQEQRCE3wZNVXn9D9fSUNG+T65Lv4GcdtcDhv10QZ+X//79Xso3bzD0D8sKs8adyMY+w3isdxfOzktvu7ZxQQXfvL0NXTN+90kz7ea4lIdINkUqmO7S82g8+hGGjTv+oO//223z+POi23FJxlk7u2rlNuu1nHjqeUiyRMvcPbi+KQPjRB2mbAcZF/XHv34Zu6+5GjloPP5idyY8fYrMvRNvZ+jgc+LeR2PjErZuuwePZ1vUtbS0sfTv9ygWSzqBXbuofewxXF9Hz2YCSGYzqWefRfoVV2BKS8PV4Ofzp9dSX2FcCixJMOioLhw+vSsWmynmWIIg/G+JZDEOkSwKgiAIwm/HrtUr+PChvxpiJ956Jz0OG2WIhfx+Pn/yEXauWBo1xvJBY1gw6lheGdyDyRnJbfHyLQ189eJG/B5jFVGr5GJyyqN0sa5ti23OPZk+5z2O5Eg9qPsva9rDDZ9dy3Z1V9S1031TufWkO7HnJBEsd1H/ny2oDca9jHKihYwL+6N7K9l+/rkojcaKqw0J8PgMmaO69uaKk19DsSXFvA9NC7Or9F+Ulj7DvmtfrZZs+g/4J6kphwHgXbmS6r8/jH/duphjyQ4HaRdeSNrFF6EqNr58cQNlm6KP5XCmWBl7ek+6Dc00JPeCIPzviWQxDpEsCoIgCMJvywcP3EXp2vaiMSk5uVz46DMoJuN+Ql3T+Pbtf7Pik/ejxtjVpSezjj2DNw4fwMiUhLZ4S52PL55dT32FcfZPQmV04r8Z4viE7/OcFiUN2wkPYxl0KhxE8uMP+/nrzDv5vOGrqGtDvH146LD7yR/RC9UdpP71TQTLjFVbJYtM2tl9MaerbLnwQpSdJYbrmgRfjJDYOlLi3on3kdf/5Lj3Ul+/gI2bbiYUMiZ3kqTQrdstFBVehiTJ6LqO66tZ1P7znwR3RSe6AEpKCumXX07SGWew8KM9bFywN2a7wv7pjDuzF8mZB3+OpSAIP4xIFuMQyaIgCIIg/LbUle3m33+4Dl1vX6c54fxLGT7tpJjtl37xCQv+/SLSPt9r6lMymD3tfF4/ajR9E9oTl1BAZe6/N7NjZc2+Q9HL9g0Tk5/BJLXvzfN3PQbbSf+E5M6fL6jrOm+veJNHNj5KWDIuJ80MpXJ/yu2MOulY0HUa3tmKb5+qrUiQckJ3HENS2XbdDejfLYj6jJpkeGuSxHED+nPSSS+BLTmqDYA/UMWGDTfQ3Bz9fSk9fQL9+/0Dszkyg6qHwzR//DG1Tz1NuDJ25VRTdjYZ11xNU89xLHivBFdDjEqvZpkRU4sZOqkQxXxwVWYFQTh4IlmMQySLgiAIgvDbM/ulp1n79cy291ank0v++SL2xNjLLud99gkr3n4VOWxcYuq32Phu6jm8MGMaXWztVTt1XWf1rD0s/mhnVIXSTNNOpqY+RKLSfii9T3Kwe9if6DH1Wkymzu/LW1Wxkptn30Q9jYa4WTNxffACzj39SpRkK80zd+FeUBHVP2FcPkmTCil76GG8b70R8zO+6yexZ4zOH6bcT1L/GTHbaFqYkpLH2L3n+ahrVmsOAwb8i5Tk9mMztECApnfeoe6551EbG6P6AFiKiki95lq2hnqzZk45mhb9vTI1x8H4s3qT3/vglvMKgnBwRLIYh0gWBUEQBOG3x9vSzMvXX0bQ522LDZ0ynaMuuiJme13XeffNN9gz+3MUv7EAiyZJbBg/nUcvvogMq3Ep6+4N9cx6eSNBn7EqqE1qZmrqw+RZNhniq6T+rB5yD8eOHUOXNEennqXWW8vNn13PGt+GqGtTXWO5/ai/kNIvF/fivTR9Ep282gekk3ZGb9wLF7Dz9juxNtRHjeOywacTYNrh/Rl10gvgSIt5L3V189i46VbC4SZDXJJMdO/+Bwq7XGLYb6i6PTS89hoNr76K5vEQi33YMOzX/IFFSzT2bm+K2ab3yByOOKWHOGZDEP5HRLIYh0gWBUEQBOG3afknH/DtW6+2vZdkmQv+8TTp+V1itvf7/Tz37DP4Nq/F0hydUFUMOJy/3vpHkuw2Q7yp2ssXz66jscpriEuojE16iQH2Lw1bFv26mcfU09hafB6nH96VSf2ysZj2v9QypIX4x/y/85+yd6OuJYWdTE45mlPHn0PX2mwa/rMFPWQslWopTCT9/H5IUoiSRx4j8O5/kGN8jdtQBPVjNS458QHMA0+JeS9+/17Wb7ielpbVUdfSUsdgdxShhr2omrftVWtyYf64FutcL1KM0zZ0RUI+sS+eo8azZZkNV00Gqj8ZaP/DWR0mRp3UnX5H5iHLogCOIPyURLIYh0gWBUEQBOG3KRwK8drNV9JcU90W6zbsME7+091x++zdu5eXX3oJuXYv1ppy9k1JXPldufHOv5KSlm6IB31hvn51E6Xr6thXd9u3TEx6HqtsTCbXaN34U+hyah09OGVYPmccVkiPrISo/h19vuVT7l76VwIEY17vndKLc9JO57BvCsFtzMqUNBsZF/XHnOnAs3YdG26+maSK6KWrQRMsGKUxedwAep78DCRmR7XRtCA7d/6DPWUv7/d+9yU3QOJMBcdiGUmLTvjCaTrNp4cJDNJRg3aC7iyCrpzIT0s2/sZiEpKKOfz4rnQfmokkkkZB+EmIZDEOkSwKgiAIwm/XtiXf8enjDxlip9zxN4oHxT6YHmDJkiV8+eWXSO4WLFWlWELGxMxvd5J06gVMmjiR3g5b27JLXdNZ/vkuln9eGjWm1dTCsYmPU2hdY4iHdIVn1BN5KnwSIUwcVpzK9Uf3ZGzPzLj3t7VhKzfMvI6KcOwCMgC54Uz+vvdmMj3GojWyw0Tycd2wD8pAkjS2PPUsoZeew6xGf6fbkwn+I0OcMP0mpBEXgSV62Wxt7dds2vxHwuGWqGv7o1RD8gcmbBtiz6j6Bmm0nB5GjbEatrl0FDVrTiclK5eR07tSPChDHLUhCD+SSBbjEMmiIAiCIPx26brOu3/9MxVbNrbFMgqLOe/v/0SWlbh93nnnHbZu3YoaCiFX7ybJ1RTVblvXfmw4+mTGFBZwVFoSY1MTcJoUStbUMvvVTYQCalSfXs5vGOd8IWqWcatWwB9Dl7NW7wHAGSO6cMfxfUmymaPGAGgJtvDk/Cf4rOJz3PuM9T2HauPO8ssZ6u0TdU2yKNgHZuAcnk2YBpbecA2526OPvNCAtcNVxvUNYzvsKtInXIVkNc5++nxlbNhwPS2u2OcsxiNLFiyrQyT/nwmlKTrZ0yw6rmkqnqM02OefKuxPoGbNGbTsGUlWURIjT+hGl35pImkUhB9IJItxiGRREARBEH7bqnZu563bbzLEJl12LYOOmRK3j9fr5dlnnsHlduOXZAKNNRRUlka181tszDtiKht6D8Miy4xMcXJUWhKHh0xsfWNb1D5GgASrh4mOf0TNMqq6xCvqVB4Nn4YfK7nJNh6cMZAJvbPi3qenvpnP3nubL9X5rHJuQpOM381MusJ1lWdzbPPouGMoaTYcw7Io2T6f8POPkOCPTnJ35ULKmCb6mUys7nIuKeOvZnC3gra9g5oWpKZmJoFAFYriRFHsMV4dbT+ybEeWTYTDHjz1m6l/5kUC7y2AGBVRQ3kazWepBLtHX3NXDqB65TmEvBnkdk9m5AndROVUQfgBRLIYh0gWBUEQBOG3b+ZTj7Jpwby2947kFC5+4gWsjuillbqmsfqrz5j34Xu48rqBJNFisVMfDtJ/8woULTqZKs3vzqzxJ9Kc1L5usshs4sQtIZJXNkZVKAXol7iAI+zPRc0y7tDyuDp0A9v0SCGe00cUcMe0fiTbY88y6iGNxo92ULZ2K3OSl/F18mLKrdUdGsCZ9VM4t/Z4FPZfSMdUYGfb6g/IXDIT1IDhmtcCG8cHOT2jHp/m5B1lOtV9L2D8oO4c0T0dqyn2TG1n+bdsoeruv+Jbuzbm9cA4Jw3HN6Lvs61TC1uo3XASjduPBl0mv3cqI0/oRm732OdGCoIQTSSLcYhkURAEQRB++1z1dbxy4xWEg+0J0OEnnsrYsy80tGusrOCr5/5JxZbIkReB9ByCWQVt1z26TkLZdhI80Xv0giYz3x0+iVUDRqHL7UlZYUOYc1f6URqii9Ik2LxMtD9ModWYIPl0C3eFL+Q9dQIAOUk2HjxlIBPjzDLquo5naSVNn5agqxpbbKXMTlnMN0kr8Sg+APIDWUxqHs3RzSPJCKfE/2MBmqzhLV+CvHMRav02w7UV/XVGDKqjrx6iRXfwqjqFd+VpDO3TjWP7ZTOhd1bcxPZAdE2j6f33qXn0MbTm5ugGyTaaTvHjHR5k3+pDvvpiqlZcQKA58u9V2D+Nw6d3I7s49tmagiC0E8liHCJZFARBEITfh0XvvcXi999ue6+YzVz02HMkZ2WjaSqrPv+Yhe++SbhDQRsd8HXpiZrQYZZK17FUl2FprImqlgqwN6uALyecTH1aexVRRdU5eUuQvhs9sWcZkxcxxvoUFtlniL8XHsdfwhfhxwrAacMLuPP4+LOMgd0t1L+5Gc0VeYaAFGRx4lq+Tl3KasdmdHRkXWKIpw+TmkdxhGsIFn3/iZ3aUEJg039R67a2P2Ma1E/wcKqlGRlw6XZeV4/l5fBUXHIyo7unc2y/bCb1yyEn2RZ/8DjC9fXUPPwIzR9/HPv68GTqTq1F22fyUNcU6rceS/2m49HVyJmM6fkJ9Dwsi54jsknKsB/0vQjC74FIFuMQyaIgCIIg/D6E/H5eufFy3I0NbbFeo8dyxKln89VzT1C5fWtUH6vDycgzz+Ob9Vtwu92Ga1LQj71sB0rQH9VPlRUWDxvP0qHj0BRTWzy/Lsx5q/2YD2KWcatWwNWhG9ip5wOQnWTloRmDmNgn9iyj2hKk/q3NBHcbZz+32kp5rPtb7NHaj8twqnbGtQxnunsCXd15Mcf7Xrh6I4FN/0Vr3gNASIEFR6rMyK8jt3Vprke38ro6mRfC02giEYDBBckc2z+HY/tl0yMr4aCK0HiWLqPqnnsIlpREX0yw0XJaGPcIb9QsY9CVRdWK8/HW9jbEc7ol0fOwbHoMz8aRZOn0fQjCb51IFuMQyaIgCIIg/H5s/GYOXz7zuCGmmEyo4eiT4rsNO4xjLruGxLQMdu/ezVtvvUUwuE+Sp+uYG2siZzLG+F7UmJ7NZ+NPpqrDUlZTWGfalgCDNnljzjJ2ty9huONdMs2lbTGPbuWO0CV8pB3ZFjtlWAF3Hd+PZEf0zKAe1mj6vATPYuPxGn4pyGt5n/Bx0tyoPkWhPP5guZKe5XloLbHPcQQIVawgsPljdHdkX+Sa7pAxsolJWvveS5du5xV1Ci+Hj6MFZ1u8a4aTY/tlc2z/bIZ2SW0rkLM/ejBI/SuvUvfMM+j7/v0BbVg6NadWoqVE920qGUvNmtPRwsbZTUmCgj6p9Dwsm25DMrHG+BsKwu+JSBbjEMmiIAiCIPx+6JrGm7ffRM2unXHb2JwJTLzwcvqOnWiYBWtsbGTWrFls3rw5qo8UCmLbuwuT1xX9mbLMwmETWDJsPHqH4zry68Kcs8qHtTEU8z4KLasYnvABueZNfH8b/wlP5J7wBQSIzIplJ1n524kDOLZ/TswxPCurafzvdggbv7Otdmzhsbx/U2duiuozJGMI9+XfgXOtin9zQ9R1AF1TCe1ZRHDLp+j+JhoSYOUxQS6215PQ4fths+7gxfA0XlWn4MG4BDQjwcrk/tlcM7EHeSkHXh4aKCmh8rbbYxbAkRLsuE6VaDmsKeZexrJvb0ILRRczApBNEkX90+l5WDbFgzIwW35coR5B+DUSyWIcIlkUBEEQhN+X8k0bePeeP8e81n3EKI659GoSUmOcBt9q586dzJw5k7q6OuMFXcfkasRWtRtJja6YWp9TyIcTZtCUktEWM4V1pmzyM3SLL+YsI0COeTPDnB9SbF2JJOls1gq5OnQDu/TctjbH9M3i7un96ZIWnRAFy13Uv7kZtclY3dQte3ku+z3mpCyN6mNTbNw64lZOsk+h5avdBEpiFJsBdDVEqGQegW0z0UIe5h8GBQl+eoSC5IXUttqrbt3GPG0IC7UBhGhflltrT2F3fi8eOn0YUwbETniNn6fS8O83qH3iCfRAILrBsGyqZpSh7fPPF3b3oOTr6+ImjN+zOkyMObUnfUbniDMbhd8VkSzGIZJFQRAEQfj9+eTRB9i+bFHbe1tiEkdfdAW9jxjXqSRBVVWWLVvG/PnzCeybtITD2KrLMLfUR/XTzRZmj57Cmr6HQYfPya8LccYaP8762LOMAGmm3QxzfkhP23d4sfDn0GV8prWfn2gzy1x3VE8uHds16hgL1ROiZfZufGtr0bzGJbcLE1fzr5y3aTEZ92QCjEw+jBtH30T3pnxaZu0mVBHdBkAP+QjumEVwx+yoIzcOZK8znXd7HU3OqSdz+wkDsZkPPLMX2LWLyjvuxLdqVdQ1yWnHc7qNphHVhllGp2MQ5ub72L7MQ32c5/hez8OymXB2byx2037bCcJvhUgW4xDJoiAIgiD8/nhbmvns8YeoKtlBz8NGMe7ci3GmHPxh7i6XizmzZ7MmxtJIxdWEo3o3hKITwOpufXn/yBPxOjocGqjrDKxWOXFHCKnCF9Xne4lKNUOdH9HXPpe31XHcFz63bVkqQLcMJ/eeOIAje2ZE9dVVnUBJE771dfg21LUljo1KC//MfYulietjfmYXJY/jekzjeI7G9p2PcF3s+9MCLYRKFxDaswjdUxv3GWKptqfy7YipnHX3NfQsiD+z2/4sKo1vvUXNY4+j+6OLDIUHJlB/RgNqh6GSkoYydMirtNTIbF9Rzbbl1bTUxn6WpEw7ky/tT1aROHpD+O0TyWIcIlkUBEEQhN8vXdd/kuWGe3bv5p3XX8WrGeNSOIS1cjdmd1N0J2cCn449kS3Fffe9KXo3aJy0M4xllyfuZ9rlJgY7PqWL/Vs+00fwrjqBrXph2/Xpg/O4c1pfspNiH11hSBw31qF6QnydvITnst/Dp0QnX9/rb+/LxeYz6LcpF1zRy22/F67bRmj3QsJ7V4Iav2DOvurtyQROO4cJN12KYj/wXsbg7t1U3nEn3hjf53SzRKhAJVSgE+qiEyrUcfQexJDDXsdkSkTXdWp2u9i+rJqNCyoIh4z/gLIiMfrk7gw+qgtSJ4rxCMKvlUgW4xDJoiAIgiAIP4VQIMCrD/2NypCObupQXVPXMTXXY6veg6RpUf0qB43k3RHHErJYo67lN6mcukslabs77p5Gu9zIqIS36GOfxzq9mP9TJ/KJOho3DhKsJm6e1IvzRxdhUuTYA9CaOO5qwreujl1btvCPlFdZ79y+3+e1ahauDJ7NMRUjMAXjjx1SfVS6V7DHtYgmf/sRGLYgDN+hY4r+kwDgTUgh74pLyT7nLGTH/vca6ppG43/epubRR9F98WdlAXRZRyuwkzLsGBz9BmHr1xdrn740u2DWSxuor4hO0Av7p3PMhX2xJ4rjNoTfJpEsxiGSRUEQBEEQfipBv49377uTPS1eQqlZhn2JUjCAfW8Jii86GZHTM3l//Ax2ZnWJOW6qS+W0UpWcrR50Nfb3r0zTTo5Mepk8y2Z8uoXPtVG8G57Acr03fXOTue+kAQwvOvBSW13V8ZU08NXKz5hZ/zXLnRsIS/FnEJ2qndMajuXkxqOwqPs/gmKPpYpZKYuYm7yMRlML6c06Jy3ROGqtjjnOR2hJSWRfeimpZ5+NkuCM3ahVsKwsMsu4bNkBn3NflqIirAMGUGHqzrqaHILWZMN1R7KFSRf1o6DPgZfICsKvjUgW4xDJoiAIgiAIPyW/28279/yZ6qoqgpn5hJM6JGi6jqW+CkvtXqR9pgolSYYJU3it7xHUxJltS/BpnFgapvsWD3ow9vewHrbvGJ34b5KUyJ7BnVou76nj+UAdx1EjBnLr5N5kJkbPYsai+cNULd/JV+s+Z460iHWObehS7M+1q1bGuoYzvWU8PTyxk97vqagsS9jArJTFLE/YQJJb5YQlGpPW6Fiij7wEIOi0op46me5nXExyt95xx9Y1jab/+z/qXniB8N7KuO0OxJOYT11KHxpS+9Kc3ANNMYMEw6cUcfjxXZH3M1MrCL82IlmMQySLgiAIgiD81LzNTcx7/UW2LVlIyGIlkFmA6kxsuy77PNj27kIJRu8NtCUmIY+eyP8VDWCzEnvPni2oMXVnmAGbPFFnKAIoBBjq/Jhhzg8xy5HqpGFdZq42lBf0GQw4fCKXj+vWqfMNIbK3M7irhdIlG5lV8TXzE5ezzb47bvuCQDanuCZxtGsUZv/+k6pmpYXZycuYlbKI5nAlxy/VmLxKxxa/MCzVuXbco/uRMXkaA0efgNMSPeOo6zrhmhr8mzbh37wZ34Z1uNYtQq7bz8BxqLKZpuQeNKT1pSGtL4kD+jDp0v4kpXfu7ycIhzqRLMYhkkVBEARBEP5Xgj4vuzespWTlMrZs2kSzIxnN1rr/TtOw1pRjaayJ2VeSZZwDhvFN7+HMTcsHKTrpSvaoTFvvp/vu2MdVOOV6Rie+QS/bt0itM4KaLvG2ehSP62dyzLA+XDm+O8UZ+1/e2ZHqCuJZUc22FWuYIy1iftJyyq3VMdvKusy0lnGc7Z9OSpMd4syYfq/cspNPUhez1LKSo1Z6mbJCx3GA2jjVKVAyOBNp/Ci6jzmOYbkjSLAkxGwbCrWw5rtz8W/ZhLlMav2RMVVLxJkwjclvSaE5qx+5MybT4+ITUWydm6kVhEOVSBbjEMmiIAiCIAg/B13XqSktYeG8OWzeXU6oNflT3M3YKkuRw/FnvGyZOWwfNJKPuvTHb4su9tKlNsTU1V6yG2Nv/Ms2b+XIxFfIsWxri9XriTwUPosPtXEcP7iAqyf0oHdOYsz+MZ9H0/Fva8S9ZC8bS9cxM+U7ZqUsiru/cai7D1c3nUUXNRfdG2etaSuNAHvsy/jasQRly06mrtRIiF+gtU2TA1b2kqkcXkj6mAmMLDqSUbmjUOT2sxtDoRZWrzkfl6v9mBApAKmN/cmrm4hv4VJ869dDjGJEsfhtqXhGTCNpxikUDO1Cao7jJ6mwKwg/J5EsxiGSRUEQBEEQfm7hcJjFC7/ju+8WEgiFQA1jra3A3FSPpMdPUmSTmeb+w/is2xDKswqMBXQ0nUGlQY5a7yXBH/s7Wi/bfIY6PyLdtLut6wqtF38JXcRmvYhj+2Vz7VE9GFSQcnDP0+DHs7Ka0s2b+bf+IbOTl6JJsZ+jn6c7V1afSk+1OFLhNU7BnrbnkiqpMn/DrurlWEta6FYuIXfiK6jXAqt6SGw5LJvDT7iME3qfjN0UWTYaCjW3JowbDH2SkoaQkjwc3GH0ddXoqyrQVlVArfvAfwOThaouw6ntcyxZg/pT0CeDgj6pJKTGPrpEEA4lIlmMQySLgiAIgiD8UgKBAIsWLWLx4sUEg0FQVczN9ZibalAC+59KU3O7sKDXMLZ06YkrIaUtbgnpHLnJx8ht/rjHUqSZ9tDT9i29bAtIMtWg6hKvq5N5PHwqLhyM7ZnBtRN7MLJb+kE/U7jOx9a1a3mx9FXmKovjFsQZ4unN+TXT6ePvGpmJO+DXSg2LtJEQpdS4avFW1pJUUo3Jd+BEriEBlg+yk3LyyZww6RrSbGmtCeN5uFwb999ZB1M1WDfLWDfJWLZLyMH4M4e6rOMbptEyzkwg1wF6AmZLEg5nGmmZfcgvOImEhPgFegThlyCSxThEsigIgiAIwi/N7XazePFi1q5di9vtBl1H8bkxN9ZiammMqpwa1T8hmbKcQipyiqjIKaI2LZsUr84xa7z0qdh/QZcc8xZ62r6lh20Rblni/tDZfKyNASQOK07l+EF5jOuVSXH6wS+v3FqxiaeWPsl813dx2+QHshjtGsz45hF0DxYgcZBLODU3QV8lekM1enMlmqsKzVWF7q0jVga6M0di56gBDDjtRkb2682m9Rfhch8gYewoBJYSCftKGcdSGSkU/34DPTTcx6gEBujQYcupHuhGgmUq+V1OIre4CJNFiTuGIPwcRLIYh0gWBUEQBEE4VGiaRmlpKWtWr2bjxg2omo4UDmFuqsPcVIscOkC1l1YBs5XK7AIqcooIW/MZUpZGtmv/CYmESoFlHb3sC6gzNfFX7Sx26AVt1wtS7Yztmcm4nhkc0SODZPv+z1TsaGP9Rp5e+RQLKuMnjQBpoWRGuQYxufkIevi7IPPDj6fQ1SBa0x6Cu+YTrlgB+yzvDcuwvGsyGwYcyZiJa0ix7Droz5Bd4Fgg4/xGQXHFTxrDWTruo1W8IzWwdLhHTcZTPQDNNYHkxInkFGeQXZxEaq4TWRb7HoWfj0gW4xDJoiAIgiAIh6JQKMSaZUv5bu5smkMaSBKKpxlLYy2Ku/mg5t80ScaVmIVsyiclkIPJlIckxy9moxCg0LqKMouHtYqDKslJHcnU6cl4sSFLMKRLSiR57JXB4IIUTJ04d3BNzRqeWv0US6uWHrCtQ7UxtmUYxzeOo2ugAOVHJI6ap5bgti8JlS0GLbq4TlOSxPqJ2ZRkdyepIIdj+maSmWhC1zXQVXRdRUeLvHb40VQvoXALYW8T0rd7Mc9sxFQZu8APgG7SCeXphLrohAoiP+F8Hd0GatCOq2wEzaVHEHL3IrNLIrndU+jSL43c7skoJnGuo/C/I5LFOESyKAiCIAjCoW7rsiXM+uBdmjQJ1ZGIFA5ibqpD8bhQ/B6kH/CdTDUlYZbzkJU8ZFM+kpKOFON4DoBEuYYsy3ayzdtINu1GN9XTKDmo05Op1ZNpMaWSklFAemFvzN3GkpOWSG6ynVSHOebS1aWVS3lt42ssqVxCOEbyti+zZuLoppGMcw2nj68YOzYkmwk9pMY8ZzIezddEcOfXhHZ9C2rs40aqki18U9gb8/hTuPyCE8lM7HyBGl3T8CxYQP2rr+JdcuCEGECXdNRMCBVokQSyi443NY2GhiPwVA4k5E1HIoX8XqkU9kujS980UrJFxVXhpyWSxThEsigIgiAIwq+BGg6z9uuZLPjwHbwmG6Hk9MiZjZqG4veg+NzI3tZX9cAJWDQLsik3kjia8pBNuUhS7KWmEipppj1km3eQZY4kkWmmMmRJo05P4mN1DO+r49hl6kpusp3cZFv7a4qNvGQ7uSk2Up0qK2sXM7dsLgvKF+ANew94l5Iu0dtXzGj3IEa1DKI4uRh7jzSUZAtqY4BQjZdwrRfNE/9voIY8hHfOJbhzLoQ8cdtVppgoHdqL/meewZAxJ2I1df48Rf+mTdS/9hotX8yE8MH/e6hJOqFCnUBPjUA3GW96KqFAGmFvGpKeRXJaFzLzu5HfrSdJqYWYTLHPlhSEzhDJYhwiWRQEQRAE4dfE52ph0XtvsWbWTELOJIKZuWg2Z3sDXUcKBjD5XCheN4qnZb9nOMYnISlZyOauKObuSErWfmezTJKfLNMOim0r6GpdSoqpio1aEe+r4/hYHUMDSVF9FFlidLd0pg7MYULvVHa61zB3z1zmlc2jwd/QqbvMC2YyyjWI0b4hDO89iuRR+VgKEgnVenF/W4FnVXXc4zlUzY9/97foW2ej+5v2+zlVqRJlIwqwH3s0g8acRK/UXp2a3QtVVdH45ps0f/Ip4ZqaTj1TLJpVJ9hNJ9hDI9hTJ1ikQ8dcXndit/YkI2sU6RmjSUkehqJEn8l5MMJhN80ta2huWonHu4PEhP4UFJyHyeQ8cGfhV0Uki3GIZFEQBEEQhF8jV0Md5RvXU7ljGztKSqgO6ai22MmBFA5hbqjG3FSHpIYPtt5o6yAJKJbuyOZuyKYuSJJpv83TTHvoal1KN9tSUpRS5ulDeV8dxzxtCGGi+0oSHFacxtQBOUzqn0lNYBtz98xlzp45lLvLO3WLSWEnh7sHMsZ6GOOHTiJ9aCGaL4x7QQWepZXoodhniWh6iOqGxTjXf4PkroOwb7+fU5UCawc40I4cwaAjTuSIrhNwmA+cmIVra/Fv2YJ/8xYCWzbj37SZ4O7d8AO+U+tmnWCxTrBnZPYx1FVHt3RsoGCS+pCSfDi5BUeSlj7igLOPfv9emppX0ty8kuamVbjcmwHj38xiyaR7t1vIzZ2BJIkqrr8VIlmMQySLgiAIgiD8FoRDIVYuWsjiZctp8sRfWomuI4WCKF4XiteFKehHCQXRD2r20YxsLkYxd0c2d0WS7fttnSDX0dW2jK7WpVjNZXyqjeJ9dRyb9aK4fYYWpjB1QA5T+ufglyuYs2cO88vms6l+U+fuUDMxwNeDHuFCuklF9JS7ku/LgsZQ3JnG76laAHwt4G9G8zejB5rRv//d34IeaEL3N6MH3KiSTkWmjKd7NmmDD6PfEdPJGDQC2da5vY6ax4N/2zYCW7bg37QZ3+aNBLZtg+DBLV3VldbCOUU6wcLIEtZwjg6t+Zyuy0ihHjjtw8nKOYL84tEEg5VtyWFT0woCgcpOf15CQl969riNtLQxB3WfwqFJJItxiGRREARBEITfEl3X2bZtG/Pnz6eyspNf/nUdOeiPLFv1RX7kYOwCMFFdkcCch9nUHdncHVlJ3W97q+SmyLqSrral+Ex1LKQ3i7X+LNd64yV2gtU/L4mpA3I4um82TqebxXsXMK9sHksrlxLWO59UKbpMD18hJzZOYJRrMHa983sQY9F1DT3oRg+42n+CLrSgi6AT7HnZJPTsir1PN2wDe6GkODu1dFUPhwns3Il3+Qq8K1bgXbYMtaFzy3I70sw64S6tyWORTqhQI5wNP6KwbJSMjKPp0f3POJ3dfrpBhZ+dSBbjEMmiIAiCIAi/Rbqus337dubPn8/evXsPur8UDqG4mzG5mjB5WpD02Es49xWyZmGTe2Oy9Nnv8RzQXign01xCumkXjaYA6+VkFut9WKX1JNDxUMJWsgSFaQ66ZybQJV1Ct29lb3AlGxqW4FZdnX4+s2ZiUvNoTq2fRG4oo9P9fgwt5EbT65CyQoS72wn2yMKbnYRX8+ML+/CGvZHXkBe/6ifLkcWwrGF0TepKqHQ33uXLI8nj8uWEq6p+2D1Y22cgQwU6ofzWGcg4q4olrQt28yBsjiQa3R+g69FnfUqSifz8s+nW9XrM5v3/xwLh0CSSxThEsigIgiAIwm/Z90njkiVLqKqqwus9cMXRKJqG4mnB5G7C5G7udMEcn7MLDnpjMfU84FLV732fQKabSvGZXOyQLSyWc1lDN0LxMhoAVJJTy0lK3YrftA6/Utepz5N1mfEtwzmmeRS5wUzSwklY9egk9aem6xpa0x4CtRvZG9zIdusudmfqlGfAnkyJumTQW2chU6wpDMkawvCs4QzLHkaftD5QWROZeWxNIEN79vzwe5EjCWMoV8KbmoLbUUST1J9m7yDUUHthInNCAwWHf4I1Y2HMcUymJLoWX0tBwbnI8o+btRV+XiJZjEMki4IgCIIg/J6oqorH48HtdtNYX8+W5UvYtXE9gVAY3WRCM1nQTSZ0kxnkGAVMdB3Z743MOLqbUAL7LwYDoEkynsRuOKVe2KXucY/kiEdCJcVUjmSqw6N4qFZUtisOdpJNhZ6JFrWuUkey1KHY9iJbK7E5qjHZqgnJnVjKqYNTs5MaTiItnExa22tyayyp9fdkErUfV23U8LEhH+HazajVGwnXbMQXbqAyDWqTJWqSoSZForb1tSXNRu/8wQzLHsbQrKEMyRyCudGNf+NG/Bs24t+wAd+GDaj19T/qnkImOx5nHm5nPu6EPLyOHHy2DKTcBrKGvocjY2fMfnZ7IT26/5nMzGPFeZC/EiJZjEMki4IgCIIg/N6FQyE2fTuXFZ9+SGNlBQA6oCsmNKsdzWJDs9raXnVz+6yRFAxEZhxdTShe1wErrYYVMy0pPUmgF4lq0Q+uqNk+A7kL2VSHy+SlQpEpJZOdWh679Bwa9z2uQ/ahWKuQbVWY7VU4nLWETXtR8f+gezDpCknhBFLURFLCiSSrCSSHE0kNJ5IbTCc9mECq30pKKAGbKRlJ6fyMpeqqRK3dgtq4C62xFM1dTeRfJaLFDjXJUJsiUZciI+flYOveA6VPTzIyC8m2Z5HlMZFcUouytbQ1kdyA2tT0g57VcG+yGb8tnVCqGblrFXquj3CmTjhTR02j7UgPkykdmy0LiyUDqyUTiyUDS9trBhZrJlZLJiZTskgqf2EiWYxDJIuCIAiCIAgRmqayc/lSln3yPlU7tsVtp8tyJHFsSyLtkSRSVjC5GjE3N6D491ORtZUqK4TMNjTZhgkzFs2MrDmQJCtIViTZCpKtw/sEJDk9bmLRcQ9klmknTlMlITmIXwrjksw0kUijnkATCTTpCTTqCTSQQL1Jo97qp8mkETZ5kU0tSKYWZHPkVVJ+WDLZkUlTGNRSzNjG/gz19Sdb6nJQ/fWQD7WxNJI8NpWiNuxCDzTHbLs3FXblSJTkSpTkQHmulcS0bLIdWXTzJdKjCnLKvdhLa7DtrsZW7/7Rz9d2n5KOmgpqhk44Q299BTUz8l6PcUSjJJmxWDJITOxPauoo0lKPwOnsiST9hJV4Onv/uk4gWE0wUNuazGb9IvfxcxPJYhwiWRQEQRAEQTDSdZ2aXTtp2FtOwOPB73Hj97gJeDwEPG4CXjd+dyQe8LoJeL2g62gmC+HEZMIJKWgmM2ZXE6aWBpTgj0+22khWZCUX2ZSHZMpDNuV2almrSfLhlBtxyo04lIbIq9yIU4m8OuRG7HI926UcVmq9WKH1YoXWmxpSQQoak0dTC7K5CdlWgWKrQJIP7pgLgORwAmNahjLWNZTevq4/qDKr5mtsnXncFUkkm8sgFHtPamUqlORIrT9Qmi3hsUeSbqdPp0sdFNXoFNboFNbqFNaCPbqWzY+m2b9PIonMRHZIKtVU2o76MJvTSE0dRWrqaNJSR2O3F/+ks4+aFsDr3Y3XW4LHuxOvp/XVW4Kqtv+HDkkyY7PmYrPnY7PlY7MVYLfltf1utWYjywe3rPpQJJLFOESyKAiCIAiC8ONomkrA66Wpai+1u3dRu3sX1bt3sbe2Hr/Zhm6xYnI3Y2pp6HRxnM6TkJQsZFMesik/kkTK+z98fn/sciMpSiXJpkpSlL2EZQ+7FRvrpExW6D3Yphfss0dSRbZVodjKUOx7kO3lKNaag3sCXaKbv4ARnn6Mcg2ip78I5Qeeb6EH3WiuKjR3NZq79dVVheapBV01tG12QGMCNDmlyGsCNCZEfm92gqRBshfy66GgTie7USenCRJ+wtzfcO+yjpoO4fTWJDKzfWYynJKKZBqCSR+KTR6G1ZqPxa5gsZmw2E2YrQpmm4piCSKb/EhKAE3zoqpeVNVDKNSEx1uC17MTj3cnPl8Z0LkKv/snY7VmY7d3wensSUJCHxISepPg7I3J9MP/7/DnJpLFOESyKAiCIAiC8L+h6zottdVUl5awc8sWSsvKaGxoQHK3YHI1IqsHPyPXGZKcFJl1VLJbl64mgJSAJDuRpP1VVN0/p1xHglJNUPFRI8tUyFaaZJl6SaFOstCCAxcOVDnUmjxGfmR7GbKp80s9HaqNAd4e9PYX09tXTC9f8Y8upqNrKrq3rjWJjPzoQTd6OAhaEF0NgRpEV4Oghlpfg6CFcdugyQkuO3htEgGTjg6YNDCHJexBnQQ/JHskEn36Afet/lCqsz2JDCXZCSWbUNNU9PQQWkYQnBr/sw//Aey2wkjimNCHhIS+JCT0xm4vPCSXtYpkMQ6RLAqCIAiCIPy8aqsqWbNiOdV799LU0IDb7SIYDCFpYSRVjfxoKpIaBq31vRpGCXiRVPXAH7A/kg1JcrYnkXJC23ukAxWgMWYikmRqHc+GLCk4lSYSlXqsciMmpQVZdqMpXoJSgFqLn632ACU2nSqbjxZrM5rSyWRZh7xQZlvi2NtfRHd/Fyz6/375o65rrcljCFQ/eigAYT966w9hP7oaQA+1/h4OtMZ9hILNeDQfobAPc1jFHvChaD/y328/NKuOmgJqqo6aqqOltv+upoBu1dFNoJsBE+gmiDWBK8tO7LZcAsE6wuGmn/QeFcWB09mLhITeOOzF2B1F2O1FOOyFKMpPV133YB0SyaIkSWcDVwGDiKxI3gK8Cjyr65086fUnHk8ki4IgCIIgCL+8cDhMU1MT9fX11NfXU1tTQ11tDQ2NjXi8rcdz6Dpy0I/idaP43CheN3Io8MveuIEFZCtSW1GefV8tKJKOSVIxySrIKiFFxWvSaDZrtJhDBMwhAqYQAXMAj9VPwOzDb/IQMHnxmz2E5ABIkUqsxf48evsjCWRPfyH5wayfJYE8WLqmovsa0XwN6L4Gwv4WgiE/wZCPYNAF7jps3hosoZ+u0E6n700GTVHQZQVNNqNiRZMsqIqFsCMZNTEFPc0GmSbI1NAzg+gZHnDWoUvV6FLjT3YvFksmdnth608RDntR23uzORVV9RIKNREKNxIONRMKNUbet71GroVCTWiqH0VxoChOFJOj/XfFgUlxtv2uKA4Uk5OszGN+2WRRkqSngasBPzAHCAFHA4nAf4HTdF3v9H9q+KnGE8miIAiCIAjCoS0UCtHQ0EBLS0vbT2N9HQ11dTTX1xForEfyuFB8bmSfF4lf/+q3NpKjdfmsE0l2ost2wiYzIbNCwAJ+i47XFsZn8RGWAyRIZtJ0G+m6k0wtkUw1iexwCmla4i/9JPulh/3obcuSW//9vs81dC0Sa8s9dNA19JAPPeRBD3rRgx70kAeC3taYp/016EEPeSPLan8iQXMCAWsKAVsyIacNNUlCcbSg2Fow2ZtRLG4k2fh/h3rHiWkZNAfodh3NAZoddEfkd91KjBlPBfjfzcoec3TJT54sdnrBtyRJpxBJ7KqAcbqub2+NZwPzgJOBa4F//hLjCYIgCIIgCIcus9lMdnY22dnZcduEQiFcLheVe/ZQsmYFNSXb8TQ2EPJ60IJBUMNIavhQ2tLWOboXXfWiU9sWkgFr60/bSZKSFUmyt77a0CQXNVIjNbKNTZIVRXaQaEok0ZRAomLHabJgkmRkSUKWQJZBQUeRJBTAJMmYkH5woZ2DJZls/IjtpJ2iq6G2xLE9ufREJZxtyaWugqZFElNdjSStmgq6jlVXsQQaSPTXQoMWaWtY2PjDzg+FyPEjuj2STGqO1t9tEFk7G2kj6bQfuxnrVY5Unv1+HENS2va7jt4a+1/o9MyiJEkrgOHABbqu/3ufa+OB+UQSv/zOLB/9KccTM4uCIAiCIAi/bZFCOzXUlJZQuW0zVbt2Ure3Ak9L6zmFkhSZtZIkdEk2vNJ2XEPH770Sqiyj6XpkL2U4jCkc/PUlogYKSJHNfJG9mCbAjCSZUWQrJsmKSTJjki2YZTNmyYJJNmOSTZG4ZMIsm1AkBZMsY5JNOBQbDtmGTT7QXtDfBl0LQzgQKQ7U+qqHA6B2jAUgHOzw6o8UGVIDHV4DrcWG2n9H+37W9fv/m9znVZIAuS0mSVJkv6kemYU1/MSYee+3dcsvswxVkqQCoAwIAim6rvtitCkH8oExuq4v+jnHE8miIAiCIAjC71Mo4Ke+vIzaPbuoL9tNOBTGbLVislgxWSyYLBY0SSao6QRUDX84jD8QxBsI4PH5CAQChIJBQqEwajiEGg6jh8PoukZAVggoCiEkwkQKxUiaihLWMKkqJvX730NYwkHMagiTGkbWwpHiPpoaST5+AxTJjMOUiENJwmGK/DhNSdhNiThNSTiUJBT5fzytKBjouo6OTiSf0yh+5OhfbBnq0NbXjbESu1bLiSR3Q4H9Jnf/g/EEQRAEQRCE3yGz1UZO957kdO/5k46rqip+n5emmmqa62ppqa+jpb6e5pZmWtwePD4/vnCYoA6qYkKXZIJEZkIMdA09HEbTNTRNQ1fDSGEVORTGFAxgDvkxhfzIocD/t3fn4XIVZR7Hv7/bWYgJKIsYBNkVBRkB2bewuIGKKIsojIKDKKCgKM4wzwMiqAmIqDPINoDxETeWh4giPooKo4iEACMKRlEMsoRFYiAJIbdv9zt/VHXS9HJvJ+m7nM7v83Ceun2q6nT1eXND3j6n6ozpeZqVKLOovIBF5QVt24zvm4joy1dn05Uxaj/nEli+v48+xvetxYTSWkzoq22TmFhK5YTldZOY0DeRCaVJlIb7PtcCkZTOrGB1bpkdTKdne4tcPjxIm783tB3J45mZmZmZdU2pVGLylLWZPGVtNt5y60HbVioVnnn6aZ587FGefupJFjyzgIXPLmTxkufT1DMJ9fVR6utbXvbVtlJp+esYKBPlfgaWLaPav4xKuZ/+cpkXKhX6ByqUB8ow0E+pPyWYpXI/qlTTVu3Gw+lXT7k6/KvaljSuRSK5IuGc2Ddp+c+15LVPfSmJVR99uRSq2y9EHyWNq0twDTpPFqfkcskgbWrr5HayTNNqH0/SCcAJAJtuumkHb2lmZmZm1n2lUokNp05lw6lTR20MUa0yUO7nheef5/nFi3h+0WKWLlnM4ueeY/E/F7DkuWdZungRA+UylYEyA+UBKpUKlcoAAwMVKtX0syr99FUH6KsMpAQ00u236U7HfMtjBFFN8+aibh/VhiujseLKYq0USsd80ezQ2iqpka6tRm3ll7yv7nUlBlhaWcTSyqL0HIUu61Mpz98cT6lvQp7jOX75XM9xGk/pRfte/LpUmwdavy/369OKhYaqed5h1H2+qPv8+ad0xvIVxFpiS050R0KnyWKrWcGrY7WPFxGXA5dDmrPYjUGZmZmZmRWR+voYP3Etxk9ci7XXXW+0h9ORiKBarbbcaolspVKlmn+uDlQol/vp7++nf9kyyuV+Bvr785zTMpVyP+X+MpVyOe0fKFMZqFLp76dSHSAGylQHylQrFaIykLZqBSp5pdRqlZSmpMVmIkQ/fZQRUVuIBgFViGUE/Smxi2qaz5rL5QvSVNNcQgZWJMNUqysS4mB5slg//zBYUQfULdCk5Slk+i8lkCwvu6/TZHFRLqcM0qZWt2iQNsN1PDMzMzMzKxBJlEolSqXhmW+3pjnt0ku6fsxOU9B5udxskDavamg7ksczMzMzMzOzLuo0Wbw3l9tJavfIx10a2o7k8czMzMzMzKyLOkoWI+IR4B5gAnBEY72kacAmwBPAHSN9PDMzMzMzM+uulZkJOT2X50lavn6wpA2Bi/PLGRFRraubLmmupOk0W+njmZmZmZmZ2cjo+KmWEXGdpEuAE4HfS7qFtGDtgcA6wCzgooZuGwHb5LIbxzMzMzMzM7MR0HGyCBARJ0n6NXAyMA0oAXOBq4BLVvYqYLePZ2ZmZmZmZt2h9BDIYtt5551jzpw5oz0MMzMzMzOzUSHp7ojYuZvHHJ6nN5qZmZmZmVmhOVk0MzMzMzOzJk4WzczMzMzMrImTRTMzMzMzM2viZNHMzMzMzMyaOFk0MzMzMzOzJk4WzczMzMzMrImTRTMzMzMzM2viZNHMzMzMzMyaOFk0MzMzMzOzJk4WzczMzMzMrImTRTMzMzMzM2viZNHMzMzMzMyaOFk0MzMzMzOzJk4WzczMzMzMrImTRTMzMzMzM2viZNHMzMzMzMyaOFk0MzMzMzOzJk4WzczMzMzMrImTRTMzMzMzM2viZNHMzMzMzMyaOFk0MzMzMzOzJk4WzczMzMzMrImTRTMzMzMzM2viZNHMzMzMzMyaOFk0MzMzMzOzJk4WzczMzMzMrIkiYrTHsNokLQL+NNrjsGGzAfCP0R6EDQvHtrc5vr3Lse1tjm9vc3x71zYRsXY3DziumwcbRX+KiJ1HexA2PCTNcXx7k2Pb2xzf3uXY9jbHt7c5vr1L0pxuH9O3oZqZmZmZmVkTJ4tmZmZmZmbWpFeSxctHewA2rBzf3uXY9jbHt3c5tr3N8e1tjm/v6npse2KBGzMzMzMzM+uuXrmyaGZmZmZmZl3kZNHMzMzMzMyaFDJZlDRZ0tGSvirpdknPSwpJP+qw/zaSrpb0uKRlkh6WdImkjYZ77NYZSe+X9CtJz0paLGmOpJMlFfLP7Jok/36dmn/H5kqq5t/Pwzvo67iPYZLGSzpQ0pcl/VbSfEn9kh6TdJ2k/Ybo7/iOYZI+LukaSX+U9IyksqSnJd0i6RhJGqSvY1swkr6Y/24OSZ8epJ1jO8ZJmlkXy1bb3EH6Or4FIWmSpM9IukvSwpz//E3StZL2atNnteNbyDmLknYA7m1RdVNEvGOIvtOAm4FJwD3Ag8AbgNcCTwN7R8SfuzpgWymSvg6cBLwA/BwoAwcCawM3AEdERGX0RmiDkfRV4NQWVUdExHWD9HPcxzhJbwJ+ll8+AdwNLAG2BV6f958bEWe16Ov4jnGSHgU2BP4APEaK7WbAboCAHwDviYhqQz/HtmAk7QLcQbpoIOD0iLigRTvHtgAkzQQ+CNwO/KVFk/kRcUaLfo5vQUjaAvgpsDXwFPBbYBmwObADcE5EfL6hT3fiGxGF24CtgCuBE4FdgY8AAfxoiH6Tgfm57cca6i7I++8mJ9HeRiW2h+U4zAdeXbf/FcADue7U0R6nt0FjeDxwPnBk/l29NcftcMe92BtwAHAdsE+LuvcCAzlW+zu+xduAvYHJLfZvR/pyIIDjHNtib8BE4H7SFwI35Bh9ukU7x7YgGzAzx+PYlejj+BZky/nLX3JMzgHGN9SvD7xmuOI76iegSyfxWDpLFj+W2/2yRV2pLhAHj/ZnWlM3YE6OwQda1E2r+4PfN9pj9dZxTDtJFh33HtiAK3KsrnR8e2sDzsxx+o5jW+wNOC/H5Z11SUarZNGxLci2ismi41uQDZie4/HN0YjvmnY/8qG5vLqxItJl2O81tLMRJGkT4I1AP3BtY31E3Eb6JnQqsPvIjs6Gi+PeU2rTAzap7XB8e8ZALl+o7XBsi0fSbsCnSEn/Dwdp59j2MMe3OCRNAD6cX87osE9X47umJYs75vKuNvV3NbSzkVU77/dHxNI2bRyj3uO4945X53J+3T7Ht+DyXJmP5pf1CYZjWyCS1gK+CSyg9bzyeo5tMe0v6UJJl0s6V9Jb2yxk4vgWxxtJt5k+EhF/lLRnXpzqMkmfk7RHiz5dje+4lR9zMUlaB1gvv3y4TbO/53KL4R+RtVA77+3iA45RL3Lce4CkqaQpAQDX11U5vgUj6TjSbUrjSVeJ9yR9uTw9Im6oa+rYFssXgG2AoyLiH0O0dWyL6QMt9j0g6aiI+H3dPse3OLbP5YN1CxnVO0vS9cC/1iWGXY3vGpMsAlPqfl7Sps3iXK49zGOx1moxahcfcIx6keNecJLGkW7vfynw84bb2xzf4tmLF/+DZIA0Z/HChnaObUFI2hP4BDArIr7fQRfHtlj+j7RA489JCcI6wE6kLwjeANwiaaeIeCy3d3yLo3aha1/S+ioXAJcCz+R9F5MWs3kO+FBu29X4jniyKOl84JBV6Hpg3R/yVXrr1ehrI6MWo+I9z8VWh+NefJeSluN+BDimoc7xLZiIOB44XtIk0rfOxwFnA0dKOjgiHs9NHdsCyHH8Bukfkyd12i2Xjm0BRMRXG3YtAW6S9DPgNtK8tDNICz2C41sktduIxwFXRMTpdXU3SnocmA18UNLnI+Ihuhzf0biy+ErSbRAra/xqvu+iup8nA8+2aDOlRVsbObXzPmWQNo5R73HcC0zS14B/Iz1a4cCIeKKhieNbUPmWpgeA0yU9QfpG+yLgPbmJY1sMXwReA3woIuYP1ThzbHtARPRLmk56RurBdVWOb3HUn///aayMiDmS7gZ2BvYDHqLL8R3xBW4i4piI0Cps81bzfZ8jTeqG9JDhVl6Vy9V6L1tl83LZLj7gGPWiebl03AtG0peBU4CnSYnigy2azcul41ts38jlOyXVvrydl0vHdmx7N1AlXXm4tX4D3pbbnJj3XZFfz8ulY1t8c3O5cd2+ebl0fMe+eXU//61Nm9r+qQ19uhLfNWnOIqRl3Q8EdgHua1G/a107G3m1876dpEltVnDapaGtFZ/jXkB5SsFppHkTb46IB9o0dXx7w0LS3MVxpDk0T+LYFkkfadGidrbM28vya8e2d6yfy8V1+xzf4rin7uf1SV/ONtogl7UYdzW+a9qjM36Qy6MbKySVgKPyyxsa6234RcQjpF+KCcARjfWSppFW5nsCuGNkR2fDxXEvHkkzgNOBf5ISxd+1a+v49ox9SYniQuAf4NgWRURs3u6uLdKjNABOz/t2yH0c295xZC6XPzbO8S2OvF7LnfnlgY31ktYlLWYEMCf36Wp817Rk8RukE7O/pJMb6mYAW5Ey7JtHemC23PRcnidp69pOSRuSVnwCmBER1REfmQ0nx70gJJ0L/DspaXhzRHTyrbPjO8ZJ2kfS0ZImtqjbC7gyv7wyIip11Y5t73JsC0DSDpLekS961O8fJ+k00lQBgK80dHV8i+MLuTxL0g61nfnZqZeQViK/mxcnfl2LryKKuRCSpBuAjfLLl5Nun1gI/Kmu2bkRcVNDv2mkZHAS6cQ+SFpW+HWkb0v3joj6Y9gIk3QxcCLwAnALUCZ9m7IOMAs4vOEfKzaGSNqJFX8RAWxLWpr5QVbMGyYidm/o57iPcZIOYcUdGnOA+9s0nRsRMxr6Or5jmKRjSV+oLiR9I/0E6fd2K9LvMMBNwBGNtzQ5tsVV99y20yPighb1ju0YJ+lQ0h1xC4A/A4+Sfne3Jy0qWQXOiIjzW/R1fAtC0peATwP9pCuNz5Cmz70SeAzYv3HdgG7Ft8jJ4jwGn7gJcFxEzGzRdxvgLNIJW5c09+LHwOdWYqUwG0aS3g+cTPrLrkSaoH0VcIm/5RrbJO0H/HKodvkWqMa+jvsYVpdQDOW2iNivRX/Hd4ySVHtExj7A1qQ5MCIljXOAqyNi1iD9HdsCGipZzG0c2zEs/+6eSkocNiPNawtS0vgr4OsRcfcg/R3fgpD0buDjwI7AS4C/AzeSrhC2msvYlfgWNlk0MzMzMzOz4bOmzVk0MzMzMzOzDjhZNDMzMzMzsyZOFs3MzMzMzKyJk0UzMzMzMzNr4mTRzMzMzMzMmjhZNDMzMzMzsyZOFs3MzMzMzKyJk0UzMxtTJIWknngIsKSZ+fMc26Xj9cy5MTOzsc/JopmZmZmZmTVxsmhmZmZmZmZNnCyamZmZmZlZEyeLZmY24iRtL+kGSQskLZF0j6Tjh+gzWdJnJN0l6TlJSyXdL+lsSVNatD87z/E7W9IWkq6W9KSkF3K/T0ka14XPMlnSFyT9VdIySY9IuljS+h30faukG/O4+iXNl/RdSduv5Bi2lXSOpN9Iejwf62lJP5b0thbtz8rn5tJBjnlIbjN7ZcZiZma9w8mimZmNKEnTgDuBQ4GngBuB54DLJF3Yps8mwGzgPGAz4A7gp8C6wGeB2yWt2+YttwDmAPsDtwK/BLYCLgCulbTK/y+UNDkf7z+BDYCb8ziPyp+x3ZiQ9DXgJ8BBwF+BWcD83He2pINXYiinAWcCLwN+B9wAzMvHvlnSaQ3tLwP6gaMlrdPmmCfl8usrMQ4zM+shThbNzGzESJoEfBuYBEwHXhcR74uI/YADgI+06CPgGmBb4CJg84h4a0S8i5T0XQ38C/CVNm/7AXKCGBHvjYiDgO2Bx0gJ60dX4yOdA+wC/B54dUQcGhGHAVsCTwKHtOok6aPAKcD9wPYRsWdEHBkROwHvBsYB3x4kAW70LWCLiNg2Ig7Kn3MXYHdSIj4jJ9wARMSTpHM6hXR+Gse3FfAW4Bng+x2OwczMeoyTRTMzG0mHAxuTrqSdGRHLHwMREbcBrW6LfBuwB/Bb4NSIeL6uz1JSsvcU6SpZq+RqKXBSRLxQ1+9B0pU4gE+uygfJie8J+eUpEfFU3fEXAicCTY+5kFQCzsovj4yIufX1ETGLdOXvZcAxnYwlIm6LiHkt9t9JSrDHA+9qqP7vXJ7Y4pAnAQKuqj9vZma2ZnGyaGZmI2laLr8XEZUW9d9qsa92O+b1EVFtrIyIJaTbTMeRrvI1+ml9Ilfn20AV2FrSxkOOvNkbSVfmHouIW1uM6z7gvhb9dgA2Au6PiAfaHPu2XO7R6WAkrS3pKEkzJF2en/E4E9gvN3lNw/hmk26Z3VbSfnXHmQQcSzo3bec0mplZ71vtif1mZmYroXYr5N/a1M9rsW/LXH5J0peGOP7LW+xr+V4R0S9pPulK5yak21JXxlCfBdLneUPDvtrn2U5S05XHBq0+TxNJ7wKuAtYbpFmruYn/RbqN9yTSfE5IcybXA26KiIc6eX8zM+tNThbNzGwsaZU8lXJ5G62TyXoPd/F9h0vt8zwG3DJE27lD1NcW//kuaR7oDOA7pPO0JCKqkk4g3daqFt2vBb4MHCppo4iYz4qFbS4e6r3NzKy3OVk0M7ORVLt6t3mb+i1a7Hskl9dGxKqszNnyvSRNIN0OCvD4Khx3qM/Srq72eeZHxLGr8L6N3kFKFK+PiDNa1G/drmO+unoZaQ7lhyX9BNgZeIi0UquZma3BPGfRzMxGUm0u3lF5oZdGR7fYd3Muj1jF93yLpFa3c76P9P/Bv0bEo6tw3LuBJcAmkvZtrJT0etIqrY1mk1YZ3VFS20RuJdRuPX2ksULSROCwIfpfCpRJi/Wckvdd0mp+qJmZrVmcLJqZ2Ui6jvQswa2Bs/NjMQCQtDetV+acRUrMpkm6VFLTvDxJW0o6uc17vgS4KCdOtfZbAefml19blQ+SV2W9onaM+oRU0ktJt3E23foZEeX83iVglqRdG9tImizpfZJe18FQareqHibpFXXHmEBa8XTLlr1WjGc+cD1p7ubRwAuk+Y9mZraGU92q5WZmZsNO0gHATcBapETnXtLtoPuSErdPAkREfSK5CfBj0vMRF5EePP8osAGwKWmlzycjYmpdn7OBz5JWWH076REat5NWMD0gv/8PgUNX9SqapCmkq6U7kZ5n+AugAuwPLAT+QHrW4nERMbOh74WseGzHfaTHifQBrwJeS0pyD4qIn9T1iRbnZhzpauWO+dzcSkr49gJeClxJumL4zXa3vUraA/hNfjkzIo5buTNhZma9yFcWzcxsREXEL0gPi78RmAocCqwLnBwRp7Xp8yiwK/AxUnK5Hen2yteTEqQLgPe0ecuHSI/U+DUpiXsTaQGYzwCHrc7tlhGxmPQ4kBnAAtJjPnYnXUHdDfjnIH1Py32/R/r8byc95uIlpCT2aOBXHYxhIB/nfNJV27cA+wD/S3q8x70dfJTZpGQXvLCNmZllvrJoZmY9qe7K4uci4uzRHc3Ylh+9MQuYHRG7jfJwzMxsjPCVRTMzszVYvo31zPzywtEci5mZjS1+dIaZmdkaSNJxpHmiuwLbAncC14zqoMzMbExxsmhmZgZI+g/SwjKd+HVEXDF0szFtGvBB0rzKa4BPhOemmJlZHc9ZNDMzAyTdSkqgOtF2ZVEzM7Ne4WTRzMzMzMzMmniBGzMzMzMzM2viZNHMzMzMzMyaOFk0MzMzMzOzJk4WzczMzMzMrImTRTMzMzMzM2vy/7G2KeNpnyfeAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,15))\n",
    "df.groupby('carrier')['prob_ontime'].plot(xlim=[-10,60], legend=True, ax=ax, lw=4);\n",
    "ax.annotate(dfg.loc[0]['carrier'], \n",
    "            xy=(20.0, dfg.loc[0]['prob_ontime']),\n",
    "            xycoords='data', xytext=(-50, -30),\n",
    "            textcoords='offset points', arrowprops=dict(arrowstyle='->', connectionstyle='arc3,rad=-0.2'));\n",
    "ax.annotate(dfg.loc[4]['carrier'], \n",
    "            xy=(20.0, dfg.loc[4]['prob_ontime']),\n",
    "            xycoords='data', xytext=(-80, -60),\n",
    "            textcoords='offset points', arrowprops=dict(arrowstyle='->', connectionstyle='arc3,rad=-0.2'));\n",
    "ax.annotate(dfg.loc[11]['carrier'], \n",
    "            xy=(20.0, dfg.loc[11]['prob_ontime']),\n",
    "            xycoords='data', xytext=(50, 60),\n",
    "            textcoords='offset points', arrowprops=dict(arrowstyle='->', connectionstyle='arc3,rad=-0.2')); \n",
    "\n",
    "ax.annotate(dfg.loc[16]['carrier'], \n",
    "            xy=(20.0, dfg.loc[16]['prob_ontime']),\n",
    "            xycoords='data', xytext=(50, 30),\n",
    "            textcoords='offset points', arrowprops=dict(arrowstyle='->', connectionstyle='arc3,rad=-0.2'));                                       "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee16f138-a913-4eb2-9f0c-319a7d886979",
   "metadata": {},
   "source": [
    "Copyright 2021 Google Inc. Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License"
   ]
  }
 ],
 "metadata": {
  "environment": {
   "kernel": "python3",
   "name": "tf2-gpu.2-6.m86",
   "type": "gcloud",
   "uri": "gcr.io/deeplearning-platform-release/tf2-gpu.2-6:m86"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
